aqmlator.data_preprocessing module

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This module contains all the utilities used for data preprocessing (some initial analysis, normalization, …).

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Copyright 2023 ACK Cyfronet AGH. All Rights Reserved.

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.

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This work was supported by the EuroHPC PL project funded at the Smart Growth Operational Programme 2014-2020, Measure 4.2 under the grant agreement no. POIR.04.02.00-00-D014/20-00.

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class aqmlator.data_preprocessing.LearningDatumMinMaxScaler(feature_range: Tuple[float, float] = (0, 1))

Bases: object

A class for rescaling the datum_attributes of the LearningDatum. It’s meant to extend the required functionality of sklearn.preprocessing.MinMaxScaler.

A constructor for LearningDatumMinMaxScaler.

Parameters:

feature_range – The range to which the values of learning datum attributes will be reduced. Notice that it’s expected for the first value to be smaller than the second.

fit_transform(data: Sequence[AqmlatorDatum]) → Sequence[AqmlatorDatum]

Transforms the attributes of the LearningDatum objects so that they are within the bounds given by the feature_range specified in the constructor.

Note:

We expect the datum_attributes to be of type float (not str, which is also formally allowed.

Parameters:

data – A list of LearningDatum of which attributes will be transformed.

Returns:

A list of transformed LearningDatum.

aqmlator.data_preprocessing.get_attributes(data: Sequence[LearningDatum]) → List[Tuple[float | str, ...]]

A method for extracting the attributes from a Sequence of the LearningDatum.

Parameters:

data – A Sequence of LearningDatum from which the attributes will be extracted.

Returns:

A list of attributes from given LearningDatum sequence. The order of the returned classes is the same as in the given data.

aqmlator.data_preprocessing.get_targets(data: Sequence[SupervisedLearningDatum]) → List[float | str | int]

A method for extracting the classes (or target values) from a Sequence of the SupervisedLearningDatum.

Parameters:

data – A Sequence of SupervisedLearningDatum from which the classes will be extracted.

Returns:

A list of classes from given SupervisedLearningDatum sequence. The order of the returned classes is the same as in the given data.