examples/daal4py/normalization_zscore.py

# ==============================================================================
# Copyright 2014 Intel Corporation
#
# 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
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# ==============================================================================

# daal4py normalization zscore example for shared memory systems

from pathlib import Path

import numpy as np
from readcsv import pd_read_csv

import daal4py as d4p


def main(readcsv=pd_read_csv):
    data_path = Path(__file__).parent / "data" / "batch"
    infile = data_path / "normalization.csv"

    # configure a covariance object
    try:
        algo = d4p.normalization_zscore(doScale=True)
    except NameError:
        algo = d4p.normalization_zscore()

    # let's provide a file directly, not a table/array
    result1 = algo.compute(str(infile))

    # We can also load the data ourselfs and provide the numpy array
    data = readcsv(infile)
    result2 = algo.compute(data)

    # covariance result objects provide correlation, covariance and mean
    assert np.allclose(result1.normalizedData, result2.normalizedData)

    return result1


if __name__ == "__main__":
    res = main()
    print("ZScore result (first 5 rows):\n", res.normalizedData[:5])
    print("All looks good!")