diff --git a/functions/src/auto_trainer/auto_trainer.py b/functions/src/auto_trainer/auto_trainer.py index 7b4764700..4e53e5b7e 100755 --- a/functions/src/auto_trainer/auto_trainer.py +++ b/functions/src/auto_trainer/auto_trainer.py @@ -67,30 +67,14 @@ def _get_dataframe( Classification tasks. :param drop_columns: str/int or a list of strings/ints that represent the column names/indices to drop. """ - store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url) - - # Getting the dataset: - if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix: - label_columns = label_columns or dataset.meta.status.label_column - context.logger.info(f"label columns: {label_columns}") - # FeatureVector case: - try: - fv = mlrun.datastore.get_store_resource(dataset.artifact_url) - dataset = fv.get_offline_features(drop_columns=drop_columns).to_dataframe() - except AttributeError: - # Leave here for backwards compatibility - dataset = fs.get_offline_features( - dataset.meta.uri, drop_columns=drop_columns - ).to_dataframe() - - elif not label_columns: - context.logger.info( - "label_columns not provided, mandatory when dataset is not a FeatureVector" - ) - raise ValueError - - elif isinstance(dataset, (list, dict)): + # Check if dataset is list/dict first (before trying to access artifact_url) + if isinstance(dataset, (list, dict)): # list/dict case: + if not label_columns: + context.logger.info( + "label_columns not provided, mandatory when dataset is not a FeatureVector" + ) + raise ValueError dataset = pd.DataFrame(dataset) # Checking if drop_columns provided by integer type: if drop_columns: @@ -103,17 +87,38 @@ def _get_dataframe( ) raise ValueError dataset.drop(drop_columns, axis=1, inplace=True) - else: - # simple URL case: - dataset = dataset.as_df() - if drop_columns: - if all(col in dataset for col in drop_columns): - dataset = dataset.drop(drop_columns, axis=1) - else: + # Dataset is a DataItem with artifact_url (URI or FeatureVector) + store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url) + + # Getting the dataset: + if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix: + label_columns = label_columns or dataset.meta.status.label_column + context.logger.info(f"label columns: {label_columns}") + # FeatureVector case: + try: + fv = mlrun.datastore.get_store_resource(dataset.artifact_url) + dataset = fv.get_offline_features(drop_columns=drop_columns).to_dataframe() + except AttributeError: + # Leave here for backwards compatibility + dataset = fs.get_offline_features( + dataset.meta.uri, drop_columns=drop_columns + ).to_dataframe() + else: + # simple URL case: + if not label_columns: context.logger.info( - "not all of the columns to drop in the dataset, drop columns process skipped" + "label_columns not provided, mandatory when dataset is not a FeatureVector" ) + raise ValueError + dataset = dataset.as_df() + if drop_columns: + if all(col in dataset for col in drop_columns): + dataset = dataset.drop(drop_columns, axis=1) + else: + context.logger.info( + "not all of the columns to drop in the dataset, drop columns process skipped" + ) return dataset, label_columns diff --git a/functions/src/auto_trainer/function.yaml b/functions/src/auto_trainer/function.yaml index 0920b1033..50a36e750 100644 --- a/functions/src/auto_trainer/function.yaml +++ b/functions/src/auto_trainer/function.yaml @@ -1,22 +1,19 @@ -metadata: - categories: - - machine-learning - - model-training - tag: '' - name: auto-trainer +verbose: false +kind: job spec: - image: mlrun/mlrun - build: - origin_filename: '' - functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union

import mlrun
import mlrun.datastore
import mlrun.utils
import pandas as pd
from mlrun import feature_store as fs
from mlrun.datastore import DataItem
from mlrun.execution import MLClientCtx
from mlrun.frameworks.auto_mlrun import AutoMLRun
from mlrun.utils.helpers import create_class, create_function
from sklearn.model_selection import train_test_split

PathType = Union[str, Path]


class KWArgsPrefixes:
    MODEL_CLASS = "CLASS_"
    FIT = "FIT_"
    TRAIN = "TRAIN_"


def _get_sub_dict_by_prefix(src: Dict, prefix_key: str) -> Dict[str, Any]:
    """
    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these
    keys.

    :param src:         The source dict to extract the values from.
    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this
                        prefix.
    """
    return {
        key.replace(prefix_key, ""): val
        for key, val in src.items()
        if key.startswith(prefix_key)
    }


def _get_dataframe(
    context: MLClientCtx,
    dataset: DataItem,
    label_columns: Optional[Union[str, List[str]]] = None,
    drop_columns: Union[str, List[str], int, List[int]] = None,
) -> Tuple[pd.DataFrame, Optional[Union[str, List[str]]]]:
    """
    Getting the DataFrame of the dataset and drop the columns accordingly.

    :param context:         MLRun context.
    :param dataset:         The dataset to train the model on.
                            Can be either a list of lists, dict, URI or a FeatureVector.
    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or
                            Classification tasks.
    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.
    """
    store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)

    # Getting the dataset:
    if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
        label_columns = label_columns or dataset.meta.status.label_column
        context.logger.info(f"label columns: {label_columns}")
        # FeatureVector case:
        try:
            fv = mlrun.datastore.get_store_resource(dataset.artifact_url)
            dataset = fv.get_offline_features(drop_columns=drop_columns).to_dataframe()
        except AttributeError:
            # Leave here for backwards compatibility
            dataset = fs.get_offline_features(
                dataset.meta.uri, drop_columns=drop_columns
            ).to_dataframe()

    elif not label_columns:
        context.logger.info(
            "label_columns not provided, mandatory when dataset is not a FeatureVector"
        )
        raise ValueError

    elif isinstance(dataset, (list, dict)):
        # list/dict case:
        dataset = pd.DataFrame(dataset)
        # Checking if drop_columns provided by integer type:
        if drop_columns:
            if isinstance(drop_columns, str) or (
                isinstance(drop_columns, list)
                and any(isinstance(col, str) for col in drop_columns)
            ):
                context.logger.error(
                    "drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"
                )
                raise ValueError
            dataset.drop(drop_columns, axis=1, inplace=True)

    else:
        # simple URL case:
        dataset = dataset.as_df()
        if drop_columns:
            if all(col in dataset for col in drop_columns):
                dataset = dataset.drop(drop_columns, axis=1)
            else:
                context.logger.info(
                    "not all of the columns to drop in the dataset, drop columns process skipped"
                )

    return dataset, label_columns


def train(
    context: MLClientCtx,
    dataset: DataItem,
    model_class: str,
    label_columns: Optional[Union[str, List[str]]] = None,
    drop_columns: List[str] = None,
    model_name: str = "model",
    tag: str = "",
    sample_set: DataItem = None,
    test_set: DataItem = None,
    train_test_split_size: float = None,
    random_state: int = None,
    labels: dict = None,
    **kwargs,
):
    """
    Training a model with the given dataset.

    example::

        import mlrun
        project = mlrun.get_or_create_project("my-project")
        project.set_function("hub://auto_trainer", "train")
        trainer_run = project.run(
            name="train",
            handler="train",
            inputs={"dataset": "./path/to/dataset.csv"},
            params={
                "model_class": "sklearn.linear_model.LogisticRegression",
                "label_columns": "label",
                "drop_columns": "id",
                "model_name": "my-model",
                "tag": "v1.0.0",
                "sample_set": "./path/to/sample_set.csv",
                "test_set": "./path/to/test_set.csv",
                "CLASS_solver": "liblinear",
            },
        )

    :param context:                 MLRun context
    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector
    :param model_class:             The class of the model, e.g. `sklearn.linear_model.LogisticRegression`
    :param label_columns:           The target label(s) of the column(s) in the dataset. for Regression or
                                    Classification tasks. Mandatory when dataset is not a FeatureVector.
    :param drop_columns:            str or a list of strings that represent the columns to drop
    :param model_name:              The model's name to use for storing the model artifact, default to 'model'
    :param tag:                     The model's tag to log with
    :param sample_set:              A sample set of inputs for the model for logging its stats along the model in favour
                                    of model monitoring. Can be either a URI or a FeatureVector
    :param test_set:                The test set to train the model with.
    :param train_test_split_size:   if test_set was provided then this argument is ignored.
                                    Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
                                    in the test split. The size of the Training set is set to the complement of this
                                    value. Default = 0.2
    :param random_state:            Relevant only when using train_test_split_size.
                                    A random state seed to shuffle the data. For more information, see:
                                    https://scikit-learn.org/stable/glossary.html#term-random_state
                                    Notice that here we only pass integer values.
    :param labels:                  Labels to log with the model
    :param kwargs:                  Here you can pass keyword arguments with prefixes,
                                    that will be parsed and passed to the relevant function, by the following prefixes:
                                    - `CLASS_` - for the model class arguments
                                    - `FIT_` - for the `fit` function arguments
                                    - `TRAIN_` - for the `train` function (in xgb or lgbm train function - future)

    """
    # Validate inputs:
    # Check if exactly one of them is supplied:
    if test_set is None:
        if train_test_split_size is None:
            context.logger.info(
                "test_set or train_test_split_size are not provided, setting train_test_split_size to 0.2"
            )
            train_test_split_size = 0.2

    elif train_test_split_size:
        context.logger.info(
            "test_set provided, ignoring given train_test_split_size value"
        )
        train_test_split_size = None

    # Get DataFrame by URL or by FeatureVector:
    dataset, label_columns = _get_dataframe(
        context=context,
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # Getting the sample set:
    if sample_set is None:
        context.logger.info(
            f"Sample set not given, using the whole training set as the sample set"
        )
        sample_set = dataset
    else:
        sample_set, _ = _get_dataframe(
            context=context,
            dataset=sample_set,
            label_columns=label_columns,
            drop_columns=drop_columns,
        )

    # Parsing kwargs:
    # TODO: Use in xgb or lgbm train function.
    train_kwargs = _get_sub_dict_by_prefix(src=kwargs, prefix_key=KWArgsPrefixes.TRAIN)
    fit_kwargs = _get_sub_dict_by_prefix(src=kwargs, prefix_key=KWArgsPrefixes.FIT)
    model_class_kwargs = _get_sub_dict_by_prefix(
        src=kwargs, prefix_key=KWArgsPrefixes.MODEL_CLASS
    )

    # Check if model or function:
    if hasattr(model_class, "train"):
        # TODO: Need to call: model(), afterwards to start the train function.
        # model = create_function(f"{model_class}.train")
        raise NotImplementedError
    else:
        # Creating model instance:
        model = create_class(model_class)(**model_class_kwargs)

    x = dataset.drop(label_columns, axis=1)
    y = dataset[label_columns]
    if train_test_split_size:
        x_train, x_test, y_train, y_test = train_test_split(
            x, y, test_size=train_test_split_size, random_state=random_state
        )
    else:
        x_train, y_train = x, y

        test_set = test_set.as_df()
        if drop_columns:
            test_set = dataset.drop(drop_columns, axis=1)

        x_test, y_test = test_set.drop(label_columns, axis=1), test_set[label_columns]

    AutoMLRun.apply_mlrun(
        model=model,
        model_name=model_name,
        context=context,
        tag=tag,
        sample_set=sample_set,
        y_columns=label_columns,
        test_set=test_set,
        x_test=x_test,
        y_test=y_test,
        artifacts=context.artifacts,
        labels=labels,
    )
    context.logger.info(f"training '{model_name}'")
    model.fit(x_train, y_train, **fit_kwargs)


def evaluate(
    context: MLClientCtx,
    model: str,
    dataset: mlrun.DataItem,
    drop_columns: List[str] = None,
    label_columns: Optional[Union[str, List[str]]] = None,
    **kwargs,
):
    """
    Evaluating a model. Artifacts generated by the MLHandler.

    :param context:                 MLRun context.
    :param model:                   The model Store path.
    :param dataset:                 The dataset to evaluate the model on. Can be either a URI or a FeatureVector.
    :param drop_columns:            str or a list of strings that represent the columns to drop.
    :param label_columns:           The target label(s) of the column(s) in the dataset. for Regression or
                                    Classification tasks. Mandatory when dataset is not a FeatureVector.
    :param kwargs:                  Here you can pass keyword arguments to the predict function
                                    (PREDICT_ prefix is not required).
    """
    # Get dataset by URL or by FeatureVector:
    dataset, label_columns = _get_dataframe(
        context=context,
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # Parsing label_columns:
    parsed_label_columns = []
    if label_columns:
        label_columns = (
            label_columns if isinstance(label_columns, list) else [label_columns]
        )
        for lc in label_columns:
            if fs.common.feature_separator in lc:
                feature_set_name, label_name, alias = fs.common.parse_feature_string(lc)
                parsed_label_columns.append(alias or label_name)
        if parsed_label_columns:
            label_columns = parsed_label_columns

    x = dataset.drop(label_columns, axis=1)
    y = dataset[label_columns]

    # Loading the model and predicting:
    model_handler = AutoMLRun.load_model(
        model_path=model, context=context, model_name="model_LinearRegression"
    )
    AutoMLRun.apply_mlrun(model_handler.model, y_test=y, model_path=model)

    context.logger.info(f"evaluating '{model_handler.model_name}'")
    model_handler.model.predict(x, **kwargs)


def predict(
    context: MLClientCtx,
    model: str,
    dataset: mlrun.DataItem,
    drop_columns: Union[str, List[str], int, List[int]] = None,
    label_columns: Optional[Union[str, List[str]]] = None,
    result_set: Optional[str] = None,
    **kwargs,
):
    """
    Predicting dataset by a model.

    :param context:                 MLRun context.
    :param model:                   The model Store path.
    :param dataset:                 The dataset to predict the model on. Can be either a URI, a FeatureVector or a
                                    sample in a shape of a list/dict.
                                    When passing a sample, pass the dataset as a field in `params` instead of `inputs`.
    :param drop_columns:            str/int or a list of strings/ints that represent the column names/indices to drop.
                                    When the dataset is a list/dict this parameter should be represented by integers.
    :param label_columns:           The target label(s) of the column(s) in the dataset. for Regression or
                                    Classification tasks. Mandatory when dataset is not a FeatureVector.
    :param result_set:              The db key to set name of the prediction result and the filename.
                                    Default to 'prediction'.
    :param kwargs:                  Here you can pass keyword arguments to the predict function
                                    (PREDICT_ prefix is not required).
    """
    # Get dataset by URL or by FeatureVector:
    dataset, label_columns = _get_dataframe(
        context=context,
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # loading the model, and getting the model handler:
    model_handler = AutoMLRun.load_model(model_path=model, context=context)

    # Dropping label columns if necessary:
    if not label_columns:
        label_columns = []
    elif isinstance(label_columns, str):
        label_columns = [label_columns]

    # Predicting:
    context.logger.info(f"making prediction by '{model_handler.model_name}'")
    y_pred = model_handler.model.predict(dataset, **kwargs)

    # Preparing and validating label columns for the dataframe of the prediction result:
    num_predicted = 1 if len(y_pred.shape) == 1 else y_pred.shape[1]

    if num_predicted > len(label_columns):
        if num_predicted == 1:
            label_columns = ["predicted labels"]
        else:
            label_columns.extend(
                [
                    f"predicted_label_{i + 1 + len(label_columns)}"
                    for i in range(num_predicted - len(label_columns))
                ]
            )
    elif num_predicted < len(label_columns):
        context.logger.error(
            f"number of predicted labels: {num_predicted} is smaller than number of label columns: {len(label_columns)}"
        )
        raise ValueError

    artifact_name = result_set or "prediction"
    labels_inside_df = set(label_columns) & set(dataset.columns.tolist())
    if labels_inside_df:
        context.logger.error(
            f"The labels: {labels_inside_df} are already existed in the dataframe"
        )
        raise ValueError
    pred_df = pd.concat([dataset, pd.DataFrame(y_pred, columns=label_columns)], axis=1)
    context.log_dataset(artifact_name, pred_df, db_key=result_set)
 - code_origin: '' - description: Automatic train, evaluate and predict functions for the ML frameworks - - Scikit-Learn, XGBoost and LightGBM. - disable_auto_mount: false - default_handler: train entry_points: train: - lineno: 121 + doc: "Training a model with the given dataset.\n\nexample::\n\n import mlrun\n\ + \ project = mlrun.get_or_create_project(\"my-project\")\n project.set_function(\"\ + hub://auto_trainer\", \"train\")\n trainer_run = project.run(\n \ + \ name=\"train\",\n handler=\"train\",\n inputs={\"dataset\"\ + : \"./path/to/dataset.csv\"},\n params={\n \"model_class\"\ + : \"sklearn.linear_model.LogisticRegression\",\n \"label_columns\"\ + : \"label\",\n \"drop_columns\": \"id\",\n \"model_name\"\ + : \"my-model\",\n \"tag\": \"v1.0.0\",\n \"sample_set\"\ + : \"./path/to/sample_set.csv\",\n \"test_set\": \"./path/to/test_set.csv\"\ + ,\n \"CLASS_solver\": \"liblinear\",\n },\n )" + has_kwargs: true parameters: - name: context type: MLClientCtx @@ -70,21 +67,12 @@ spec: type: dict doc: Labels to log with the model default: null - has_varargs: false + lineno: 126 name: train - has_kwargs: true - doc: "Training a model with the given dataset.\n\nexample::\n\n import mlrun\n\ - \ project = mlrun.get_or_create_project(\"my-project\")\n project.set_function(\"\ - hub://auto_trainer\", \"train\")\n trainer_run = project.run(\n \ - \ name=\"train\",\n handler=\"train\",\n inputs={\"dataset\"\ - : \"./path/to/dataset.csv\"},\n params={\n \"model_class\"\ - : \"sklearn.linear_model.LogisticRegression\",\n \"label_columns\"\ - : \"label\",\n \"drop_columns\": \"id\",\n \"model_name\"\ - : \"my-model\",\n \"tag\": \"v1.0.0\",\n \"sample_set\"\ - : \"./path/to/sample_set.csv\",\n \"test_set\": \"./path/to/test_set.csv\"\ - ,\n \"CLASS_solver\": \"liblinear\",\n },\n )" + has_varargs: false evaluate: - lineno: 273 + doc: Evaluating a model. Artifacts generated by the MLHandler. + has_kwargs: true parameters: - name: context type: MLClientCtx @@ -104,12 +92,12 @@ spec: doc: The target label(s) of the column(s) in the dataset. for Regression or Classification tasks. Mandatory when dataset is not a FeatureVector. default: null - has_varargs: false + lineno: 278 name: evaluate - has_kwargs: true - doc: Evaluating a model. Artifacts generated by the MLHandler. + has_varargs: false predict: - lineno: 327 + doc: Predicting dataset by a model. + has_kwargs: true parameters: - name: context type: MLClientCtx @@ -138,10 +126,22 @@ spec: doc: The db key to set name of the prediction result and the filename. Default to 'prediction'. default: null - has_varargs: false + lineno: 332 name: predict - has_kwargs: true - doc: Predicting dataset by a model. + has_varargs: false + build: + code_origin: '' + origin_filename: '' + functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from pathlib import Path
from typing import Any, Dict, List, Optional, Tuple, Union

import mlrun
import mlrun.datastore
import mlrun.utils
import pandas as pd
from mlrun import feature_store as fs
from mlrun.datastore import DataItem
from mlrun.execution import MLClientCtx
from mlrun.frameworks.auto_mlrun import AutoMLRun
from mlrun.utils.helpers import create_class, create_function
from sklearn.model_selection import train_test_split

PathType = Union[str, Path]


class KWArgsPrefixes:
    MODEL_CLASS = "CLASS_"
    FIT = "FIT_"
    TRAIN = "TRAIN_"


def _get_sub_dict_by_prefix(src: Dict, prefix_key: str) -> Dict[str, Any]:
    """
    Collect all the keys from the given dict that starts with the given prefix and creates a new dictionary with these
    keys.

    :param src:         The source dict to extract the values from.
    :param prefix_key:  Only keys with this prefix will be returned. The keys in the result dict will be without this
                        prefix.
    """
    return {
        key.replace(prefix_key, ""): val
        for key, val in src.items()
        if key.startswith(prefix_key)
    }


def _get_dataframe(
    context: MLClientCtx,
    dataset: DataItem,
    label_columns: Optional[Union[str, List[str]]] = None,
    drop_columns: Union[str, List[str], int, List[int]] = None,
) -> Tuple[pd.DataFrame, Optional[Union[str, List[str]]]]:
    """
    Getting the DataFrame of the dataset and drop the columns accordingly.

    :param context:         MLRun context.
    :param dataset:         The dataset to train the model on.
                            Can be either a list of lists, dict, URI or a FeatureVector.
    :param label_columns:   The target label(s) of the column(s) in the dataset. for Regression or
                            Classification tasks.
    :param drop_columns:    str/int or a list of strings/ints that represent the column names/indices to drop.
    """
    # Check if dataset is list/dict first (before trying to access artifact_url)
    if isinstance(dataset, (list, dict)):
        # list/dict case:
        if not label_columns:
            context.logger.info(
                "label_columns not provided, mandatory when dataset is not a FeatureVector"
            )
            raise ValueError
        dataset = pd.DataFrame(dataset)
        # Checking if drop_columns provided by integer type:
        if drop_columns:
            if isinstance(drop_columns, str) or (
                isinstance(drop_columns, list)
                and any(isinstance(col, str) for col in drop_columns)
            ):
                context.logger.error(
                    "drop_columns must be an integer/list of integers if not provided with a URI/FeatureVector dataset"
                )
                raise ValueError
            dataset.drop(drop_columns, axis=1, inplace=True)
    else:
        # Dataset is a DataItem with artifact_url (URI or FeatureVector)
        store_uri_prefix, _ = mlrun.datastore.parse_store_uri(dataset.artifact_url)

        # Getting the dataset:
        if mlrun.utils.StorePrefix.FeatureVector == store_uri_prefix:
            label_columns = label_columns or dataset.meta.status.label_column
            context.logger.info(f"label columns: {label_columns}")
            # FeatureVector case:
            try:
                fv = mlrun.datastore.get_store_resource(dataset.artifact_url)
                dataset = fv.get_offline_features(drop_columns=drop_columns).to_dataframe()
            except AttributeError:
                # Leave here for backwards compatibility
                dataset = fs.get_offline_features(
                    dataset.meta.uri, drop_columns=drop_columns
                ).to_dataframe()
        else:
            # simple URL case:
            if not label_columns:
                context.logger.info(
                    "label_columns not provided, mandatory when dataset is not a FeatureVector"
                )
                raise ValueError
            dataset = dataset.as_df()
            if drop_columns:
                if all(col in dataset for col in drop_columns):
                    dataset = dataset.drop(drop_columns, axis=1)
                else:
                    context.logger.info(
                        "not all of the columns to drop in the dataset, drop columns process skipped"
                    )

    return dataset, label_columns


def train(
    context: MLClientCtx,
    dataset: DataItem,
    model_class: str,
    label_columns: Optional[Union[str, List[str]]] = None,
    drop_columns: List[str] = None,
    model_name: str = "model",
    tag: str = "",
    sample_set: DataItem = None,
    test_set: DataItem = None,
    train_test_split_size: float = None,
    random_state: int = None,
    labels: dict = None,
    **kwargs,
):
    """
    Training a model with the given dataset.

    example::

        import mlrun
        project = mlrun.get_or_create_project("my-project")
        project.set_function("hub://auto_trainer", "train")
        trainer_run = project.run(
            name="train",
            handler="train",
            inputs={"dataset": "./path/to/dataset.csv"},
            params={
                "model_class": "sklearn.linear_model.LogisticRegression",
                "label_columns": "label",
                "drop_columns": "id",
                "model_name": "my-model",
                "tag": "v1.0.0",
                "sample_set": "./path/to/sample_set.csv",
                "test_set": "./path/to/test_set.csv",
                "CLASS_solver": "liblinear",
            },
        )

    :param context:                 MLRun context
    :param dataset:                 The dataset to train the model on. Can be either a URI or a FeatureVector
    :param model_class:             The class of the model, e.g. `sklearn.linear_model.LogisticRegression`
    :param label_columns:           The target label(s) of the column(s) in the dataset. for Regression or
                                    Classification tasks. Mandatory when dataset is not a FeatureVector.
    :param drop_columns:            str or a list of strings that represent the columns to drop
    :param model_name:              The model's name to use for storing the model artifact, default to 'model'
    :param tag:                     The model's tag to log with
    :param sample_set:              A sample set of inputs for the model for logging its stats along the model in favour
                                    of model monitoring. Can be either a URI or a FeatureVector
    :param test_set:                The test set to train the model with.
    :param train_test_split_size:   if test_set was provided then this argument is ignored.
                                    Should be between 0.0 and 1.0 and represent the proportion of the dataset to include
                                    in the test split. The size of the Training set is set to the complement of this
                                    value. Default = 0.2
    :param random_state:            Relevant only when using train_test_split_size.
                                    A random state seed to shuffle the data. For more information, see:
                                    https://scikit-learn.org/stable/glossary.html#term-random_state
                                    Notice that here we only pass integer values.
    :param labels:                  Labels to log with the model
    :param kwargs:                  Here you can pass keyword arguments with prefixes,
                                    that will be parsed and passed to the relevant function, by the following prefixes:
                                    - `CLASS_` - for the model class arguments
                                    - `FIT_` - for the `fit` function arguments
                                    - `TRAIN_` - for the `train` function (in xgb or lgbm train function - future)

    """
    # Validate inputs:
    # Check if exactly one of them is supplied:
    if test_set is None:
        if train_test_split_size is None:
            context.logger.info(
                "test_set or train_test_split_size are not provided, setting train_test_split_size to 0.2"
            )
            train_test_split_size = 0.2

    elif train_test_split_size:
        context.logger.info(
            "test_set provided, ignoring given train_test_split_size value"
        )
        train_test_split_size = None

    # Get DataFrame by URL or by FeatureVector:
    dataset, label_columns = _get_dataframe(
        context=context,
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # Getting the sample set:
    if sample_set is None:
        context.logger.info(
            f"Sample set not given, using the whole training set as the sample set"
        )
        sample_set = dataset
    else:
        sample_set, _ = _get_dataframe(
            context=context,
            dataset=sample_set,
            label_columns=label_columns,
            drop_columns=drop_columns,
        )

    # Parsing kwargs:
    # TODO: Use in xgb or lgbm train function.
    train_kwargs = _get_sub_dict_by_prefix(src=kwargs, prefix_key=KWArgsPrefixes.TRAIN)
    fit_kwargs = _get_sub_dict_by_prefix(src=kwargs, prefix_key=KWArgsPrefixes.FIT)
    model_class_kwargs = _get_sub_dict_by_prefix(
        src=kwargs, prefix_key=KWArgsPrefixes.MODEL_CLASS
    )

    # Check if model or function:
    if hasattr(model_class, "train"):
        # TODO: Need to call: model(), afterwards to start the train function.
        # model = create_function(f"{model_class}.train")
        raise NotImplementedError
    else:
        # Creating model instance:
        model = create_class(model_class)(**model_class_kwargs)

    x = dataset.drop(label_columns, axis=1)
    y = dataset[label_columns]
    if train_test_split_size:
        x_train, x_test, y_train, y_test = train_test_split(
            x, y, test_size=train_test_split_size, random_state=random_state
        )
    else:
        x_train, y_train = x, y

        test_set = test_set.as_df()
        if drop_columns:
            test_set = dataset.drop(drop_columns, axis=1)

        x_test, y_test = test_set.drop(label_columns, axis=1), test_set[label_columns]

    AutoMLRun.apply_mlrun(
        model=model,
        model_name=model_name,
        context=context,
        tag=tag,
        sample_set=sample_set,
        y_columns=label_columns,
        test_set=test_set,
        x_test=x_test,
        y_test=y_test,
        artifacts=context.artifacts,
        labels=labels,
    )
    context.logger.info(f"training '{model_name}'")
    model.fit(x_train, y_train, **fit_kwargs)


def evaluate(
    context: MLClientCtx,
    model: str,
    dataset: mlrun.DataItem,
    drop_columns: List[str] = None,
    label_columns: Optional[Union[str, List[str]]] = None,
    **kwargs,
):
    """
    Evaluating a model. Artifacts generated by the MLHandler.

    :param context:                 MLRun context.
    :param model:                   The model Store path.
    :param dataset:                 The dataset to evaluate the model on. Can be either a URI or a FeatureVector.
    :param drop_columns:            str or a list of strings that represent the columns to drop.
    :param label_columns:           The target label(s) of the column(s) in the dataset. for Regression or
                                    Classification tasks. Mandatory when dataset is not a FeatureVector.
    :param kwargs:                  Here you can pass keyword arguments to the predict function
                                    (PREDICT_ prefix is not required).
    """
    # Get dataset by URL or by FeatureVector:
    dataset, label_columns = _get_dataframe(
        context=context,
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # Parsing label_columns:
    parsed_label_columns = []
    if label_columns:
        label_columns = (
            label_columns if isinstance(label_columns, list) else [label_columns]
        )
        for lc in label_columns:
            if fs.common.feature_separator in lc:
                feature_set_name, label_name, alias = fs.common.parse_feature_string(lc)
                parsed_label_columns.append(alias or label_name)
        if parsed_label_columns:
            label_columns = parsed_label_columns

    x = dataset.drop(label_columns, axis=1)
    y = dataset[label_columns]

    # Loading the model and predicting:
    model_handler = AutoMLRun.load_model(
        model_path=model, context=context, model_name="model_LinearRegression"
    )
    AutoMLRun.apply_mlrun(model_handler.model, y_test=y, model_path=model)

    context.logger.info(f"evaluating '{model_handler.model_name}'")
    model_handler.model.predict(x, **kwargs)


def predict(
    context: MLClientCtx,
    model: str,
    dataset: mlrun.DataItem,
    drop_columns: Union[str, List[str], int, List[int]] = None,
    label_columns: Optional[Union[str, List[str]]] = None,
    result_set: Optional[str] = None,
    **kwargs,
):
    """
    Predicting dataset by a model.

    :param context:                 MLRun context.
    :param model:                   The model Store path.
    :param dataset:                 The dataset to predict the model on. Can be either a URI, a FeatureVector or a
                                    sample in a shape of a list/dict.
                                    When passing a sample, pass the dataset as a field in `params` instead of `inputs`.
    :param drop_columns:            str/int or a list of strings/ints that represent the column names/indices to drop.
                                    When the dataset is a list/dict this parameter should be represented by integers.
    :param label_columns:           The target label(s) of the column(s) in the dataset. for Regression or
                                    Classification tasks. Mandatory when dataset is not a FeatureVector.
    :param result_set:              The db key to set name of the prediction result and the filename.
                                    Default to 'prediction'.
    :param kwargs:                  Here you can pass keyword arguments to the predict function
                                    (PREDICT_ prefix is not required).
    """
    # Get dataset by URL or by FeatureVector:
    dataset, label_columns = _get_dataframe(
        context=context,
        dataset=dataset,
        label_columns=label_columns,
        drop_columns=drop_columns,
    )

    # loading the model, and getting the model handler:
    model_handler = AutoMLRun.load_model(model_path=model, context=context)

    # Fix feature names for models that require them (e.g., XGBoost)
    # When dataset comes from a list, pandas assigns default integer column names
    # but some models expect specific feature names they were trained with
    if hasattr(model_handler.model, 'feature_names_in_'):
        expected_features = model_handler.model.feature_names_in_
        if len(dataset.columns) == len(expected_features):
            # Only rename if the number of columns matches
            # This handles the case where a list was converted to DataFrame with default column names
            if not all(col == feat for col, feat in zip(dataset.columns, expected_features)):
                context.logger.info(
                    f"Renaming dataset columns to match model's expected feature names"
                )
                dataset.columns = expected_features

    # Dropping label columns if necessary:
    if not label_columns:
        label_columns = []
    elif isinstance(label_columns, str):
        label_columns = [label_columns]

    # Predicting:
    context.logger.info(f"making prediction by '{model_handler.model_name}'")
    y_pred = model_handler.model.predict(dataset, **kwargs)

    # Preparing and validating label columns for the dataframe of the prediction result:
    num_predicted = 1 if len(y_pred.shape) == 1 else y_pred.shape[1]

    if num_predicted > len(label_columns):
        if num_predicted == 1:
            label_columns = ["predicted labels"]
        else:
            label_columns.extend(
                [
                    f"predicted_label_{i + 1 + len(label_columns)}"
                    for i in range(num_predicted - len(label_columns))
                ]
            )
    elif num_predicted < len(label_columns):
        context.logger.error(
            f"number of predicted labels: {num_predicted} is smaller than number of label columns: {len(label_columns)}"
        )
        raise ValueError

    artifact_name = result_set or "prediction"
    labels_inside_df = set(label_columns) & set(dataset.columns.tolist())
    if labels_inside_df:
        context.logger.error(
            f"The labels: {labels_inside_df} are already existed in the dataframe"
        )
        raise ValueError
    pred_df = pd.concat([dataset, pd.DataFrame(y_pred, columns=label_columns)], axis=1)
    context.log_dataset(artifact_name, pred_df, db_key=result_set)
 command: '' -kind: job -verbose: false + default_handler: train + image: mlrun/mlrun + disable_auto_mount: false + description: Automatic train, evaluate and predict functions for the ML frameworks + - Scikit-Learn, XGBoost and LightGBM. +metadata: + categories: + - machine-learning + - model-training + tag: '' + name: auto-trainer diff --git a/functions/src/auto_trainer/item.yaml b/functions/src/auto_trainer/item.yaml index ba33f6a08..d397a79d6 100755 --- a/functions/src/auto_trainer/item.yaml +++ b/functions/src/auto_trainer/item.yaml @@ -13,7 +13,7 @@ labels: author: Iguazio maintainers: [] marketplaceType: '' -mlrunVersion: 1.7.0 +mlrunVersion: 1.10.0 name: auto_trainer platformVersion: 3.5.0 spec: @@ -23,4 +23,4 @@ spec: kind: job requirements: [] url: '' -version: 1.8.0 +version: 1.9.0 diff --git a/functions/src/auto_trainer/requirements.txt b/functions/src/auto_trainer/requirements.txt index b14a0293c..b23f9b9dd 100644 --- a/functions/src/auto_trainer/requirements.txt +++ b/functions/src/auto_trainer/requirements.txt @@ -1,4 +1,5 @@ pandas -scikit-learn<1.4.0 +scikit-learn~=1.5.2 +lightgbm xgboost<2.0.0 plotly diff --git a/functions/src/auto_trainer/test_auto_trainer.py b/functions/src/auto_trainer/test_auto_trainer.py index 9a1ff554c..ac95109f8 100644 --- a/functions/src/auto_trainer/test_auto_trainer.py +++ b/functions/src/auto_trainer/test_auto_trainer.py @@ -29,6 +29,9 @@ ("sklearn.linear_model.LinearRegression", "regression"), ("sklearn.ensemble.RandomForestClassifier", "classification"), ("xgboost.XGBRegressor", "regression"), + ("xgboost.XGBClassifier", "classification"), + ("lightgbm.LGBMRegressor", "regression"), + ("lightgbm.LGBMClassifier", "classification") ] REQUIRED_ENV_VARS = [ @@ -78,11 +81,15 @@ def _assert_train_handler(train_run): @pytest.mark.parametrize("model", MODELS) +@pytest.mark.skipif( + condition=not _validate_environment_variables(), + reason="Project's environment variables are not set", +) def test_train(model: Tuple[str, str]): dataset, label_columns = _get_dataset(model[1]) is_test_passed = True - project = mlrun.new_project("auto-trainer-test", context="./") + project = mlrun.get_or_create_project("auto-trainer-test", context="./") fn = project.set_function("function.yaml", "train", kind="job", image="mlrun/mlrun") train_run = None @@ -119,7 +126,7 @@ def test_train_evaluate(model: Tuple[str, str]): dataset, label_columns = _get_dataset(model[1]) is_test_passed = True # Importing function: - project = mlrun.new_project("auto-trainer-test", context="./") + project = mlrun.get_or_create_project("auto-trainer-test", context="./") fn = project.set_function("function.yaml", "train", kind="job", image="mlrun/mlrun") temp_dir = tempfile.mkdtemp() @@ -172,7 +179,7 @@ def test_train_predict(model: Tuple[str, str]): df = pd.read_csv(dataset) sample = df.head().drop("labels", axis=1).values.tolist() # Importing function: - project = mlrun.new_project("auto-trainer-test", context="./") + project = mlrun.get_or_create_project("auto-trainer-test", context="./") fn = project.set_function("function.yaml", "train", kind="job", image="mlrun/mlrun") temp_dir = tempfile.mkdtemp() diff --git a/functions/src/describe/function.yaml b/functions/src/describe/function.yaml index a11461774..1c254c3c4 100644 --- a/functions/src/describe/function.yaml +++ b/functions/src/describe/function.yaml @@ -1,9 +1,44 @@ +metadata: + tag: '' + categories: + - data-analysis + name: describe +verbose: false +kind: job spec: + command: '' + image: mlrun/mlrun + description: describe and visualizes dataset stats + disable_auto_mount: false + default_handler: analyze entry_points: analyze: + doc: 'The function will output the following artifacts per + + column within the data frame (based on data types) + + If the data has more than 500,000 sample we + + sample randomly 500,000 samples: + + + describe csv + + histograms + + scatter-2d + + violin chart + + correlation-matrix chart + + correlation-matrix csv + + imbalance pie chart + + imbalance-weights-vec csv' + has_kwargs: false has_varargs: false - outputs: - - type: None parameters: - name: context type: MLClientCtx @@ -45,46 +80,11 @@ spec: - name: dask_client doc: Dask client object default: null - doc: 'The function will output the following artifacts per - - column within the data frame (based on data types) - - If the data has more than 500,000 sample we - - sample randomly 500,000 samples: - - - describe csv - - histograms - - scatter-2d - - violin chart - - correlation-matrix chart - - correlation-matrix csv - - imbalance pie chart - - imbalance-weights-vec csv' - has_kwargs: false + outputs: + - type: None name: analyze lineno: 46 - image: mlrun/mlrun - command: '' build: - functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Generated by nuclio.export.NuclioExporter

import warnings
from typing import Union

import mlrun
import numpy as np

warnings.simplefilter(action="ignore", category=FutureWarning)

import mlrun.feature_store as fstore
import pandas as pd
import plotly.express as px
import plotly.figure_factory as ff
import plotly.graph_objects as go
from mlrun.artifacts import (
    Artifact,
    DatasetArtifact,
    PlotlyArtifact,
    TableArtifact,
    update_dataset_meta,
)
from mlrun.datastore import DataItem
from mlrun.execution import MLClientCtx
from mlrun.feature_store import FeatureSet
from plotly.subplots import make_subplots

pd.set_option("display.float_format", lambda x: "%.2f" % x)
MAX_SIZE_OF_DF = 500000


def analyze(
    context: MLClientCtx,
    name: str = "dataset",
    table: Union[FeatureSet, DataItem] = None,
    label_column: str = None,
    plots_dest: str = "plots",
    random_state: int = 1,
    problem_type: str = "classification",
    dask_key: str = "dask_key",
    dask_function: str = None,
    dask_client=None,
) -> None:
    """
    The function will output the following artifacts per
    column within the data frame (based on data types)
    If the data has more than 500,000 sample we
    sample randomly 500,000 samples:

    describe csv
    histograms
    scatter-2d
    violin chart
    correlation-matrix chart
    correlation-matrix csv
    imbalance pie chart
    imbalance-weights-vec csv

    :param context:                 The function context
    :param name:                    Key of dataset to database ("dataset" for default)
    :param table:                   MLRun input pointing to pandas dataframe (csv/parquet file path) or FeatureSet
                                    as param
    :param label_column:            Ground truth column label
    :param plots_dest:              Destination folder of summary plots (relative to artifact_path)
                                    ("plots" for default)
    :param random_state:            When the table has more than 500,000 samples, we sample randomly 500,000 samples
    :param problem_type             The type of the ML problem the data facing - regression, classification or None
                                    (classification for default)
    :param dask_key:                Key of dataframe in dask client "datasets" attribute
    :param dask_function:           Dask function url (db://..)
    :param dask_client:             Dask client object
    """
    data_item, featureset, creat, update = False, False, False, False
    get_from_table = True
    if dask_function or dask_client:
        data_item, creat = True, True
        if dask_function:
            client = mlrun.import_function(dask_function).client
        elif dask_client:
            client = dask_client
        else:
            raise ValueError("dask client was not provided")

        if dask_key in client.datasets:
            df = client.get_dataset(dask_key)
            data_item, creat, get_from_table = True, True, False
        elif table:
            get_from_table = True
        else:
            context.logger.info(
                f"only these datasets are available {client.datasets} in client {client}"
            )
            raise Exception("dataset not found on dask cluster")

    if get_from_table:
        if type(table) == DataItem:
            if table.meta is None:
                data_item, creat, update = True, True, False
            elif table.meta.kind == "dataset":
                data_item, creat, update = True, False, True
            elif table.meta.kind == "FeatureVector":
                data_item, creat, update = True, False, False
            elif table.meta.kind == "FeatureSet":
                featureset, creat, update = True, False, False

        if data_item:
            df = table.as_df()
        elif featureset:
            project_name, set_name = (
                table._path.split("/")[2],
                table._path.split("/")[4],
            )
            feature_set = fstore.get_feature_set(
                f"store://feature-sets/{project_name}/{set_name}"
            )
            df = feature_set.to_dataframe()
        else:
            context.logger.error(f"Wrong table type.")
            return

    if df.size > MAX_SIZE_OF_DF:
        df = df.sample(n=int(MAX_SIZE_OF_DF / df.shape[1]), random_state=random_state)
    extra_data = {}

    if label_column not in df.columns:
        label_column = None

    extra_data["describe csv"] = context.log_artifact(
        TableArtifact("describe-csv", df=df.describe()),
        local_path=f"{plots_dest}/describe.csv",
    )

    try:
        _create_histogram_mat_artifact(
            context, df, extra_data, label_column, plots_dest
        )
    except Exception as e:
        context.logger.warn(f"Failed to create histogram matrix artifact due to: {e}")
    try:
        _create_features_histogram_artifacts(
            context, df, extra_data, label_column, plots_dest, problem_type
        )
    except Exception as e:
        context.logger.warn(f"Failed to create pairplot histograms due to: {e}")
    try:
        _create_features_2d_scatter_artifacts(
            context, df, extra_data, label_column, plots_dest, problem_type
        )
    except Exception as e:
        context.logger.warn(f"Failed to create pairplot 2d_scatter due to: {e}")
    try:
        _create_violin_artifact(context, df, extra_data, plots_dest)
    except Exception as e:
        context.logger.warn(f"Failed to create violin distribution plots due to: {e}")
    try:
        _create_imbalance_artifact(
            context, df, extra_data, label_column, plots_dest, problem_type
        )
    except Exception as e:
        context.logger.warn(f"Failed to create class imbalance plot due to: {e}")
    try:
        _create_corr_artifact(context, df, extra_data, label_column, plots_dest)
    except Exception as e:
        context.logger.warn(f"Failed to create features correlation plot due to: {e}")

    if not data_item:
        return

    artifact = table.artifact_url
    if creat:  # dataset not stored
        artifact = DatasetArtifact(
            key="dataset", stats=True, df=df, extra_data=extra_data
        )
        artifact = context.log_artifact(artifact, db_key=name)
        context.logger.info(f"The data set is logged to the project under {name} name")

    if update:
        update_dataset_meta(artifact, extra_data=extra_data)
        context.logger.info(f"The data set named {name} is updated")

    # TODO : 3-D plot on on selected features.
    # TODO : Reintegration plot on on selected features.
    # TODO : PCA plot (with options)


def _create_histogram_mat_artifact(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
):
    """
    Create and log a histogram matrix artifact
    """
    context.log_artifact(
        item=Artifact(
            key="hist",
            body=b"<b> Deprecated, see the artifacts scatter-2d "
            b"and histograms instead<b>",
        ),
        local_path=f"{plots_dest}/hist.html",
    )


def _create_features_histogram_artifacts(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
    problem_type: str,
):
    """
    Create and log a histogram artifact for each feature
    """

    figs = dict()
    first_feature_name = ""
    if label_column is not None and problem_type == "classification":
        all_labels = df[label_column].unique()
    visible = True
    for column_name in df.columns:
        if column_name == label_column:
            continue

        if label_column is not None and problem_type == "classification":
            for label in all_labels:
                sub_fig = go.Histogram(
                    histfunc="count",
                    x=df.loc[df[label_column] == label][column_name],
                    name=str(label),
                    visible=visible,
                )
                figs[f"{column_name}@?@{label}"] = sub_fig
        else:
            sub_fig = go.Histogram(histfunc="count", x=df[column_name], visible=visible)
            figs[f"{column_name}@?@{1}"] = sub_fig
        if visible:
            first_feature_name = column_name
        visible = False

    fig = go.Figure()
    for k in figs.keys():
        fig.add_trace(figs[k])

    fig.update_layout(
        updatemenus=[
            {
                "buttons": [
                    {
                        "label": column_name,
                        "method": "update",
                        "args": [
                            {
                                "visible": [
                                    key.split("@?@")[0] == column_name
                                    for key in figs.keys()
                                ],
                                "xaxis": {
                                    "range": [
                                        min(df[column_name]),
                                        max(df[column_name]),
                                    ]
                                },
                            },
                            {"title": f"<i><b>Histogram of {column_name}</b></i>"},
                        ],
                    }
                    for column_name in df.columns
                    if column_name != label_column
                ],
                "direction": "down",
                "pad": {"r": 10, "t": 10},
                "showactive": True,
                "x": 0.25,
                "xanchor": "left",
                "y": 1.1,
                "yanchor": "top",
            }
        ],
        annotations=[
            dict(
                text="Select Feature Name ",
                showarrow=False,
                x=0,
                y=1.05,
                yref="paper",
                xref="paper",
                align="left",
                xanchor="left",
                yanchor="top",
                font={
                    "color": "blue",
                },
            )
        ],
    )

    fig.update_layout(
        width=600,
        height=400,
        autosize=False,
        margin=dict(t=100, b=0, l=0, r=0),
        template="plotly_white",
    )

    fig.update_layout(title_text=f"<i><b>Histograms of {first_feature_name}</b></i>")
    extra_data[f"histograms"] = context.log_artifact(
        PlotlyArtifact(key=f"histograms", figure=fig),
        local_path=f"{plots_dest}/histograms.html",
    )


def _create_features_2d_scatter_artifacts(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
    problem_type: str,
):
    """
    Create and log a scatter-2d artifact for each couple of features
    """
    features = [
        column_name for column_name in df.columns if column_name != label_column
    ]
    max_feature_len = float(max(len(elem) for elem in features))
    if label_column is not None:
        labels = sorted(df[label_column].unique())
    else:
        labels = [None]
    fig = go.Figure()
    if label_column is not None and problem_type == "classification":
        for l in labels:
            fig.add_trace(
                go.Scatter(
                    x=df.loc[df[label_column] == l][features[0]],
                    y=df.loc[df[label_column] == l][features[0]],
                    mode="markers",
                    visible=True,
                    showlegend=True,
                    name=str(l),
                )
            )
    elif label_column is None:
        fig.add_trace(
            go.Scatter(
                x=df[features[0]],
                y=df[features[0]],
                mode="markers",
                visible=True,
            )
        )
    elif problem_type == "regression":
        fig.add_trace(
            go.Scatter(
                x=df[features[0]],
                y=df[features[0]],
                mode="markers",
                marker=dict(
                    color=df[label_column], colorscale="Viridis", showscale=True
                ),
                visible=True,
            )
        )

    x_buttons = []
    y_buttons = []

    for ncol in features:
        if problem_type == "classification" and label_column is not None:
            x_buttons.append(
                dict(
                    method="update",
                    label=ncol,
                    args=[
                        {"x": [df.loc[df[label_column] == l][ncol] for l in labels]},
                        np.arange(len(labels)).tolist(),
                    ],
                )
            )

            y_buttons.append(
                dict(
                    method="update",
                    label=ncol,
                    args=[
                        {"y": [df.loc[df[label_column] == l][ncol] for l in labels]},
                        np.arange(len(labels)).tolist(),
                    ],
                )
            )
        else:
            x_buttons.append(
                dict(method="update", label=ncol, args=[{"x": [df[ncol]]}])
            )

            y_buttons.append(
                dict(method="update", label=ncol, args=[{"y": [df[ncol]]}])
            )

    # Pass buttons to the updatemenus argument
    fig.update_layout(
        updatemenus=[
            dict(buttons=x_buttons, direction="up", x=0.5, y=-0.1),
            dict(buttons=y_buttons, direction="down", x=-max_feature_len / 100, y=0.5),
        ]
    )

    fig.update_layout(
        width=600,
        height=400,
        autosize=False,
        margin=dict(t=100, b=0, l=0, r=0),
        template="plotly_white",
    )

    fig.update_layout(title_text=f"<i><b>Scatter-2d</b></i>")
    extra_data[f"scatter-2d"] = context.log_artifact(
        PlotlyArtifact(key=f"scatter-2d", figure=fig),
        local_path=f"{plots_dest}/scatter-2d.html",
    )


def _create_violin_artifact(
    context: MLClientCtx, df: pd.DataFrame, extra_data: dict, plots_dest: str
):
    """
    Create and log a violin artifact
    """
    cols = 5
    rows = (df.shape[1] // cols) + 1
    fig = make_subplots(rows=rows, cols=cols)

    plot_num = 0

    for column_name in df.columns:
        column_data = df[column_name]
        violin = go.Violin(
            x=[column_name] * column_data.shape[0],
            y=column_data,
            name=column_name,
        )

        fig.add_trace(
            violin,
            row=(plot_num // cols) + 1,
            col=(plot_num % cols) + 1,
        )

        plot_num += 1

    fig["layout"].update(
        height=(rows + 1) * 200,
        width=(cols + 1) * 200,
        title="<i><b>Violin Plots</b></i>",
    )

    fig.update_layout(showlegend=False)
    extra_data["violin"] = context.log_artifact(
        PlotlyArtifact(key="violin", figure=fig),
        local_path=f"{plots_dest}/violin.html",
    )


def _create_imbalance_artifact(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
    problem_type: str,
):
    """
    Create and log an imbalance class artifact (csv + plot)
    """
    if label_column:
        if problem_type == "classification":
            values_column = "count"
            labels_count = df[label_column].value_counts().sort_index()
            df_labels_count = pd.DataFrame(labels_count)
            df_labels_count[label_column] = labels_count.index
            df_labels_count.rename(columns={"": values_column}, inplace=True)
            df_labels_count[values_column] = df_labels_count[values_column] / sum(
                df_labels_count[values_column]
            )
            fig = px.pie(df_labels_count, names=label_column, values=values_column)
        else:
            fig = px.histogram(
                histfunc="count",
                x=df[label_column],
            )
            hist = np.histogram(df[label_column])
            df_labels_count = pd.DataFrame(
                {"min_val": hist[1], "count": hist[0].tolist() + [0]}
            )
        fig.update_layout(title_text="<i><b>Labels Imbalance</b></i>")
        extra_data["imbalance"] = context.log_artifact(
            PlotlyArtifact(key="imbalance", figure=fig),
            local_path=f"{plots_dest}/imbalance.html",
        )
        extra_data["imbalance-csv"] = context.log_artifact(
            TableArtifact("imbalance-weights-vec", df=df_labels_count),
            local_path=f"{plots_dest}/imbalance-weights-vec.csv",
        )


def _create_corr_artifact(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
):
    """
    Create and log an correlation-matrix artifact (csv + plot)
    """
    if label_column is not None:
        df = df.drop([label_column], axis=1)
    tblcorr = df.corr(numeric_only=True)
    extra_data["correlation-matrix-csv"] = context.log_artifact(
        TableArtifact("correlation-matrix-csv", df=tblcorr, visible=True),
        local_path=f"{plots_dest}/correlation-matrix.csv",
    )

    z = tblcorr.values.tolist()
    z_text = [["{:.2f}".format(y) for y in x] for x in z]
    fig = ff.create_annotated_heatmap(
        z,
        x=list(tblcorr.columns),
        y=list(tblcorr.columns),
        annotation_text=z_text,
        colorscale="agsunset",
    )
    fig["layout"]["yaxis"]["autorange"] = "reversed"  # l -> r
    fig.update_layout(title_text="<i><b>Correlation matrix</b></i>")
    fig["data"][0]["showscale"] = True

    extra_data["correlation"] = context.log_artifact(
        PlotlyArtifact(key="correlation", figure=fig),
        local_path=f"{plots_dest}/correlation.html",
    )
 - code_origin: '' origin_filename: '' - description: describe and visualizes dataset stats - disable_auto_mount: false - default_handler: analyze -verbose: false -metadata: - tag: '' - name: describe - categories: - - data-analysis -kind: job + code_origin: '' + functionSourceCode: # Copyright 2019 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Generated by nuclio.export.NuclioExporter

import warnings
from typing import Union

import mlrun
import numpy as np

warnings.simplefilter(action="ignore", category=FutureWarning)

import mlrun.feature_store as fstore
import pandas as pd
import plotly.express as px
import plotly.figure_factory as ff
import plotly.graph_objects as go
from mlrun.artifacts import (
    Artifact,
    DatasetArtifact,
    PlotlyArtifact,
    TableArtifact,
    update_dataset_meta,
)
from mlrun.datastore import DataItem
from mlrun.execution import MLClientCtx
from mlrun.feature_store import FeatureSet
from plotly.subplots import make_subplots

pd.set_option("display.float_format", lambda x: "%.2f" % x)
MAX_SIZE_OF_DF = 500000


def analyze(
    context: MLClientCtx,
    name: str = "dataset",
    table: Union[FeatureSet, DataItem] = None,
    label_column: str = None,
    plots_dest: str = "plots",
    random_state: int = 1,
    problem_type: str = "classification",
    dask_key: str = "dask_key",
    dask_function: str = None,
    dask_client=None,
) -> None:
    """
    The function will output the following artifacts per
    column within the data frame (based on data types)
    If the data has more than 500,000 sample we
    sample randomly 500,000 samples:

    describe csv
    histograms
    scatter-2d
    violin chart
    correlation-matrix chart
    correlation-matrix csv
    imbalance pie chart
    imbalance-weights-vec csv

    :param context:                 The function context
    :param name:                    Key of dataset to database ("dataset" for default)
    :param table:                   MLRun input pointing to pandas dataframe (csv/parquet file path) or FeatureSet
                                    as param
    :param label_column:            Ground truth column label
    :param plots_dest:              Destination folder of summary plots (relative to artifact_path)
                                    ("plots" for default)
    :param random_state:            When the table has more than 500,000 samples, we sample randomly 500,000 samples
    :param problem_type             The type of the ML problem the data facing - regression, classification or None
                                    (classification for default)
    :param dask_key:                Key of dataframe in dask client "datasets" attribute
    :param dask_function:           Dask function url (db://..)
    :param dask_client:             Dask client object
    """
    data_item, featureset, creat, update = False, False, False, False
    get_from_table = True
    if dask_function or dask_client:
        data_item, creat = True, True
        if dask_function:
            client = mlrun.import_function(dask_function).client
        elif dask_client:
            client = dask_client
        else:
            raise ValueError("dask client was not provided")

        if dask_key in client.datasets:
            df = client.get_dataset(dask_key)
            data_item, creat, get_from_table = True, True, False
        elif table:
            get_from_table = True
        else:
            context.logger.info(
                f"only these datasets are available {client.datasets} in client {client}"
            )
            raise Exception("dataset not found on dask cluster")

    if get_from_table:
        if type(table) == DataItem:
            if table.meta is None:
                data_item, creat, update = True, True, False
            elif table.meta.kind == "dataset":
                data_item, creat, update = True, False, True
            elif table.meta.kind == "FeatureVector":
                data_item, creat, update = True, False, False
            elif table.meta.kind == "FeatureSet":
                featureset, creat, update = True, False, False

        if data_item:
            df = table.as_df()
        elif featureset:
            project_name, set_name = (
                table._path.split("/")[2],
                table._path.split("/")[4],
            )
            feature_set = fstore.get_feature_set(
                f"store://feature-sets/{project_name}/{set_name}"
            )
            df = feature_set.to_dataframe()
        else:
            context.logger.error(f"Wrong table type.")
            return

    if df.size > MAX_SIZE_OF_DF:
        df = df.sample(n=int(MAX_SIZE_OF_DF / df.shape[1]), random_state=random_state)
    extra_data = {}

    if label_column not in df.columns:
        label_column = None

    extra_data["describe csv"] = context.log_artifact(
        TableArtifact("describe-csv", df=df.describe()),
        local_path=f"{plots_dest}/describe.csv",
    )

    try:
        _create_histogram_mat_artifact(
            context, df, extra_data, label_column, plots_dest
        )
    except Exception as e:
        context.logger.warn(f"Failed to create histogram matrix artifact due to: {e}")
    try:
        _create_features_histogram_artifacts(
            context, df, extra_data, label_column, plots_dest, problem_type
        )
    except Exception as e:
        context.logger.warn(f"Failed to create pairplot histograms due to: {e}")
    try:
        _create_features_2d_scatter_artifacts(
            context, df, extra_data, label_column, plots_dest, problem_type
        )
    except Exception as e:
        context.logger.warn(f"Failed to create pairplot 2d_scatter due to: {e}")
    try:
        _create_violin_artifact(context, df, extra_data, plots_dest)
    except Exception as e:
        context.logger.warn(f"Failed to create violin distribution plots due to: {e}")
    try:
        _create_imbalance_artifact(
            context, df, extra_data, label_column, plots_dest, problem_type
        )
    except Exception as e:
        context.logger.warn(f"Failed to create class imbalance plot due to: {e}")
    try:
        _create_corr_artifact(context, df, extra_data, label_column, plots_dest)
    except Exception as e:
        context.logger.warn(f"Failed to create features correlation plot due to: {e}")

    if not data_item:
        return

    artifact = table.artifact_url
    if creat:  # dataset not stored
        artifact = DatasetArtifact(
            key="dataset", stats=True, df=df, extra_data=extra_data
        )
        artifact = context.log_artifact(artifact, db_key=name)
        context.logger.info(f"The data set is logged to the project under {name} name")

    if update:
        update_dataset_meta(artifact, extra_data=extra_data)
        context.logger.info(f"The data set named {name} is updated")

    # TODO : 3-D plot on on selected features.
    # TODO : Reintegration plot on on selected features.
    # TODO : PCA plot (with options)


def _create_histogram_mat_artifact(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
):
    """
    Create and log a histogram matrix artifact
    """
    context.log_artifact(
        item=Artifact(
            key="hist",
            body=b"<b> Deprecated, see the artifacts scatter-2d "
            b"and histograms instead<b>",
        ),
        local_path=f"{plots_dest}/hist.html",
    )


def _create_features_histogram_artifacts(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
    problem_type: str,
):
    """
    Create and log a histogram artifact for each feature
    """

    figs = dict()
    first_feature_name = ""
    if label_column is not None and problem_type == "classification":
        all_labels = df[label_column].unique()
    visible = True
    for column_name in df.columns:
        if column_name == label_column:
            continue

        if label_column is not None and problem_type == "classification":
            for label in all_labels:
                sub_fig = go.Histogram(
                    histfunc="count",
                    x=df.loc[df[label_column] == label][column_name],
                    name=str(label),
                    visible=visible,
                )
                figs[f"{column_name}@?@{label}"] = sub_fig
        else:
            sub_fig = go.Histogram(histfunc="count", x=df[column_name], visible=visible)
            figs[f"{column_name}@?@{1}"] = sub_fig
        if visible:
            first_feature_name = column_name
        visible = False

    fig = go.Figure()
    for k in figs.keys():
        fig.add_trace(figs[k])

    fig.update_layout(
        updatemenus=[
            {
                "buttons": [
                    {
                        "label": column_name,
                        "method": "update",
                        "args": [
                            {
                                "visible": [
                                    key.split("@?@")[0] == column_name
                                    for key in figs.keys()
                                ],
                                "xaxis": {
                                    "range": [
                                        min(df[column_name]),
                                        max(df[column_name]),
                                    ]
                                },
                            },
                            {"title": f"<i><b>Histogram of {column_name}</b></i>"},
                        ],
                    }
                    for column_name in df.columns
                    if column_name != label_column
                ],
                "direction": "down",
                "pad": {"r": 10, "t": 10},
                "showactive": True,
                "x": 0.25,
                "xanchor": "left",
                "y": 1.1,
                "yanchor": "top",
            }
        ],
        annotations=[
            dict(
                text="Select Feature Name ",
                showarrow=False,
                x=0,
                y=1.05,
                yref="paper",
                xref="paper",
                align="left",
                xanchor="left",
                yanchor="top",
                font={
                    "color": "blue",
                },
            )
        ],
    )

    fig.update_layout(
        width=600,
        height=400,
        autosize=False,
        margin=dict(t=100, b=0, l=0, r=0),
        template="plotly_white",
    )

    fig.update_layout(title_text=f"<i><b>Histograms of {first_feature_name}</b></i>")
    extra_data[f"histograms"] = context.log_artifact(
        PlotlyArtifact(key=f"histograms", figure=fig),
        local_path=f"{plots_dest}/histograms.html",
    )


def _create_features_2d_scatter_artifacts(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
    problem_type: str,
):
    """
    Create and log a scatter-2d artifact for each couple of features
    """
    features = [
        column_name for column_name in df.columns if column_name != label_column
    ]
    max_feature_len = float(max(len(elem) for elem in features))
    if label_column is not None:
        labels = sorted(df[label_column].unique())
    else:
        labels = [None]
    fig = go.Figure()
    if label_column is not None and problem_type == "classification":
        for l in labels:
            fig.add_trace(
                go.Scatter(
                    x=df.loc[df[label_column] == l][features[0]],
                    y=df.loc[df[label_column] == l][features[0]],
                    mode="markers",
                    visible=True,
                    showlegend=True,
                    name=str(l),
                )
            )
    elif label_column is None:
        fig.add_trace(
            go.Scatter(
                x=df[features[0]],
                y=df[features[0]],
                mode="markers",
                visible=True,
            )
        )
    elif problem_type == "regression":
        fig.add_trace(
            go.Scatter(
                x=df[features[0]],
                y=df[features[0]],
                mode="markers",
                marker=dict(
                    color=df[label_column], colorscale="Viridis", showscale=True
                ),
                visible=True,
            )
        )

    x_buttons = []
    y_buttons = []

    for ncol in features:
        if problem_type == "classification" and label_column is not None:
            x_buttons.append(
                dict(
                    method="update",
                    label=ncol,
                    args=[
                        {"x": [df.loc[df[label_column] == l][ncol] for l in labels]},
                        np.arange(len(labels)).tolist(),
                    ],
                )
            )

            y_buttons.append(
                dict(
                    method="update",
                    label=ncol,
                    args=[
                        {"y": [df.loc[df[label_column] == l][ncol] for l in labels]},
                        np.arange(len(labels)).tolist(),
                    ],
                )
            )
        else:
            x_buttons.append(
                dict(method="update", label=ncol, args=[{"x": [df[ncol]]}])
            )

            y_buttons.append(
                dict(method="update", label=ncol, args=[{"y": [df[ncol]]}])
            )

    # Pass buttons to the updatemenus argument
    fig.update_layout(
        updatemenus=[
            dict(buttons=x_buttons, direction="up", x=0.5, y=-0.1),
            dict(buttons=y_buttons, direction="down", x=-max_feature_len / 100, y=0.5),
        ]
    )

    fig.update_layout(
        width=600,
        height=400,
        autosize=False,
        margin=dict(t=100, b=0, l=0, r=0),
        template="plotly_white",
    )

    fig.update_layout(title_text=f"<i><b>Scatter-2d</b></i>")
    extra_data[f"scatter-2d"] = context.log_artifact(
        PlotlyArtifact(key=f"scatter-2d", figure=fig),
        local_path=f"{plots_dest}/scatter-2d.html",
    )


def _create_violin_artifact(
    context: MLClientCtx, df: pd.DataFrame, extra_data: dict, plots_dest: str
):
    """
    Create and log a violin artifact
    """
    cols = 5
    rows = (df.shape[1] // cols) + 1
    fig = make_subplots(rows=rows, cols=cols)

    plot_num = 0

    for column_name in df.columns:
        column_data = df[column_name]
        violin = go.Violin(
            x=[column_name] * column_data.shape[0],
            y=column_data,
            name=column_name,
        )

        fig.add_trace(
            violin,
            row=(plot_num // cols) + 1,
            col=(plot_num % cols) + 1,
        )

        plot_num += 1

    fig["layout"].update(
        height=(rows + 1) * 200,
        width=(cols + 1) * 200,
        title="<i><b>Violin Plots</b></i>",
    )

    fig.update_layout(showlegend=False)
    extra_data["violin"] = context.log_artifact(
        PlotlyArtifact(key="violin", figure=fig),
        local_path=f"{plots_dest}/violin.html",
    )


def _create_imbalance_artifact(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
    problem_type: str,
):
    """
    Create and log an imbalance class artifact (csv + plot)
    """
    if label_column:
        if problem_type == "classification":
            values_column = "count"
            labels_count = df[label_column].value_counts().sort_index()
            df_labels_count = pd.DataFrame(labels_count)
            df_labels_count[label_column] = labels_count.index
            df_labels_count.rename(columns={"": values_column}, inplace=True)
            df_labels_count[values_column] = df_labels_count[values_column] / sum(
                df_labels_count[values_column]
            )
            fig = px.pie(df_labels_count, names=label_column, values=values_column)
        else:
            fig = px.histogram(
                histfunc="count",
                x=df[label_column],
            )
            hist = np.histogram(df[label_column])
            df_labels_count = pd.DataFrame(
                {"min_val": hist[1], "count": hist[0].tolist() + [0]}
            )
        fig.update_layout(title_text="<i><b>Labels Imbalance</b></i>")
        extra_data["imbalance"] = context.log_artifact(
            PlotlyArtifact(key="imbalance", figure=fig),
            local_path=f"{plots_dest}/imbalance.html",
        )
        extra_data["imbalance-csv"] = context.log_artifact(
            TableArtifact("imbalance-weights-vec", df=df_labels_count),
            local_path=f"{plots_dest}/imbalance-weights-vec.csv",
        )


def _create_corr_artifact(
    context: MLClientCtx,
    df: pd.DataFrame,
    extra_data: dict,
    label_column: str,
    plots_dest: str,
):
    """
    Create and log an correlation-matrix artifact (csv + plot)
    """
    if label_column is not None:
        df = df.drop([label_column], axis=1)
    tblcorr = df.corr(numeric_only=True)
    extra_data["correlation-matrix-csv"] = context.log_artifact(
        TableArtifact("correlation-matrix-csv", df=tblcorr, visible=True),
        local_path=f"{plots_dest}/correlation-matrix.csv",
    )

    z = tblcorr.values.tolist()
    z_text = [["{:.2f}".format(y) for y in x] for x in z]
    fig = ff.create_annotated_heatmap(
        z,
        x=list(tblcorr.columns),
        y=list(tblcorr.columns),
        annotation_text=z_text,
        colorscale="agsunset",
    )
    fig["layout"]["yaxis"]["autorange"] = "reversed"  # l -> r
    fig.update_layout(title_text="<i><b>Correlation matrix</b></i>")
    fig["data"][0]["showscale"] = True

    extra_data["correlation"] = context.log_artifact(
        PlotlyArtifact(key="correlation", figure=fig),
        local_path=f"{plots_dest}/correlation.html",
    )
 diff --git a/functions/src/describe/item.yaml b/functions/src/describe/item.yaml index da26f1501..a1aa47372 100644 --- a/functions/src/describe/item.yaml +++ b/functions/src/describe/item.yaml @@ -11,7 +11,7 @@ labels: author: Iguazio maintainers: [] marketplaceType: '' -mlrunVersion: 1.7.0 +mlrunVersion: 1.10.0 name: describe platformVersion: 3.5.3 spec: @@ -21,4 +21,4 @@ spec: kind: job requirements: [] url: '' -version: 1.4.0 +version: 1.5.0 diff --git a/functions/src/describe/requirements.txt b/functions/src/describe/requirements.txt index 15492b176..ac445e6d6 100644 --- a/functions/src/describe/requirements.txt +++ b/functions/src/describe/requirements.txt @@ -1,4 +1,4 @@ -scikit-learn~=1.0.2 +scikit-learn~=1.5.2 plotly~=5.23 pytest~=7.0.1 matplotlib~=3.5.1 diff --git a/functions/src/gen_class_data/function.yaml b/functions/src/gen_class_data/function.yaml index 1769bec07..fa802964e 100644 --- a/functions/src/gen_class_data/function.yaml +++ b/functions/src/gen_class_data/function.yaml @@ -1,13 +1,15 @@ metadata: - categories: - - data-generation tag: '' name: gen-class-data + categories: + - data-generation +verbose: false spec: description: Create a binary classification sample dataset and save. - default_handler: gen_class_data entry_points: gen_class_data: + lineno: 22 + has_varargs: false has_kwargs: false parameters: - name: context @@ -48,7 +50,6 @@ spec: - name: sk_params doc: additional parameters for `sklearn.datasets.make_classification` default: {} - lineno: 22 doc: 'Create a binary classification sample dataset and save. If no filename is given it will default to: @@ -59,14 +60,13 @@ spec: Additional scikit-learn parameters can be set using **sk_params, please see https://scikit-learn.org/stable/modules/generated/sklearn.datasets.make_classification.html for more details.' - has_varargs: false name: gen_class_data - command: '' - disable_auto_mount: false - image: mlrun/mlrun build: origin_filename: '' functionSourceCode: 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 code_origin: '' + command: '' + image: mlrun/mlrun + default_handler: gen_class_data + disable_auto_mount: false kind: job -verbose: false diff --git a/functions/src/gen_class_data/item.yaml b/functions/src/gen_class_data/item.yaml index 30f5cd21c..082b00305 100644 --- a/functions/src/gen_class_data/item.yaml +++ b/functions/src/gen_class_data/item.yaml @@ -11,7 +11,7 @@ labels: author: Iguazio maintainers: [] marketplaceType: '' -mlrunVersion: 1.7.0 +mlrunVersion: 1.10.0 name: gen_class_data platformVersion: 3.5.3 spec: @@ -21,4 +21,4 @@ spec: kind: job requirements: [] url: '' -version: 1.3.0 +version: 1.4.0 diff --git a/functions/src/gen_class_data/requirements.txt b/functions/src/gen_class_data/requirements.txt index d7dbe376b..e265290f6 100644 --- a/functions/src/gen_class_data/requirements.txt +++ b/functions/src/gen_class_data/requirements.txt @@ -1,2 +1,2 @@ pandas -scikit-learn==1.0.2 \ No newline at end of file +scikit-learn~=1.5.2 \ No newline at end of file diff --git a/functions/src/gen_class_data/test_gen_class_data.py b/functions/src/gen_class_data/test_gen_class_data.py index e06eeb16b..990075dec 100644 --- a/functions/src/gen_class_data/test_gen_class_data.py +++ b/functions/src/gen_class_data/test_gen_class_data.py @@ -36,4 +36,7 @@ def test_gen_class_data(): local=True, artifact_path="./artifacts", ) - assert os.path.isfile(run.status.artifacts[0]['spec']['target_path']), 'dataset is not available' + # In local mode, artifacts are in function-name/iteration subdirectory + # Default key is "classifier-data" (can be overridden in params) + dataset_path = "./artifacts/test-gen-class-data-gen-class-data/0/classifier-data.csv" + assert os.path.isfile(dataset_path), f'dataset is not available at {dataset_path}'