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#*******************************************************************************
# Copyright 2014-2019 Intel Corporation
# All Rights Reserved.
#
# This software is licensed under the Apache License, Version 2.0 (the
# "License"), the following terms apply:
#
# 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.
#*******************************************************************************
# daal4py covariance example for streaming on shared memory systems
import daal4py as d4p
import numpy as np
# let's use a generator for getting stream from file (defined in stream.py)
from stream import read_next
def main(readcsv=None, method='defaultDense'):
infile = "./data/batch/covcormoments_dense.csv"
# configure a covariance object
algo = d4p.covariance(streaming=True)
# get the generator (defined in stream.py)...
rn = read_next(infile, 112, readcsv)
# ... and iterate through chunks/stream
for chunk in rn:
algo.compute(chunk)
# finalize computation
result = algo.finalize()
return result
if __name__ == "__main__":
res = main()
print("Covariance matrix:\n", res.covariance)
print("Mean vector:\n", res.mean)
print('All looks good!')
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