scikit-learn-intelex
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intel
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
# Description - Model builder for Decision Forest (classification only) - Reproducer of low accuracy score (it'll be removed letter)
**Describe the bug** Every time I try to convert my xgboost model (using daal4py.get_gbt_model_from_xgboost) I'm running out of memory. Moved training script from my local machine to GCP, kept increasing...
* Added one_ccl transceiver. * Rewrote dist_kmeans.h. The spark sample and daal4py used map_tree, but it is based on send and receive operations, which oneccl not support yet. oneDAL KMeans...
Host and Cpu devices can be not available in python package and there is a failed: ``` python daal4py\examples\sycl\sklearn_sycl.py ******************************************************************************** device context: host Traceback (most recent call last): File "daal4py\examples\sycl\sklearn_sycl.py",...
Previously we had not functionality to process specialized templates in our code generator. That is why we skipped this algorithm. Today it should be possible to add it. First of...
version 2019.5 Linux ``` import daal4py as d4p import numpy as np import os, os.path # initialized DAAL4Py d4p.daalinit() fn = os.path.join('data', 'X_' + str( d4p.my_procid() ) + '.csv') X...
- ```dist_custom``` - use C++ MPI example to implement dist class - @fschlimb also has a CnC version which might be helpful because of it's modular structure
While coding, I discovered that decision_forest_regression_training.compute() function is allowed to take in a third parameter, however, according to the daal4py documentation, only 2 input parameters are allowed: data and dependentVariable...
The daal4py documentation only provides information on the parameter types for the daal4py.decision_forest_classification_model parameters. There is no other information (purpose, other ranges of values, etc.) on these parameters found in...