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makefile.lst
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#===============================================================================
# Copyright 2014-2021 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
# limitations under the License.
#===============================================================================
## Content:
## Intel(R) oneAPI Data Analytics Library algorithms list
##******************************************************************************
CORE.ALGORITHMS.CUSTOM.AVAILABLE := low_order_moments quantiles covariance cosdistance cordistance kmeans pca cholesky \
svd assocrules qr em outlierdetection_bacon outlierdetection_multivariate outlierdetection_univariate \
kernel_function sorting normalization optimization_solver objective_function decision_tree \
dtrees/gbt dtrees/forest linear_regression ridge_regression naivebayes stump adaboost brownboost \
logitboost svm multiclassclassifier k_nearest_neighbors logistic_regression implicit_als \
coordinate_descent jaccard triangle_counting shortest_paths subgraph_isomorphism connected_components \
louvain
classifier += classifier/inner
low_order_moments +=
quantiles +=
covariance +=
cosdistance +=
cordistance += covariance
elastic_net += linear_model regression optimization_solver objective_function engines
kmeans += engines distributions
pca += pca/metrics pca/transform svd covariance low_order_moments normalization
cholesky +=
svd +=
assocrules +=
qr +=
em += covariance engines distributions
outlierdetection_bacon +=
outlierdetection_multivariate +=
outlierdetection_univariate +=
kernel_function += kernel_function/polynomial
sorting +=
normalization += normalization/minmax normalization/zscore low_order_moments
optimization_solver += optimization_solver/adagrad optimization_solver/lbfgs optimization_solver/sgd optimization_solver/saga optimization_solver/coordinate_descent objective_function engines distributions
coordinate_descent += optimization_solver/coordinate_descent objective_function engines distributions
objective_function += objective_function/cross_entropy_loss objective_function/logistic_loss objective_function/mse
decision_tree += regression classifier
dtrees/gbt += dtrees dtrees/gbt/classification dtrees/gbt/regression engines classifier regression objective_function
dtrees/forest += dtrees dtrees/regression dtrees/forest/classification dtrees/forest/regression engines classifier regression distributions
linear_regression += linear_model regression
lasso_regression += linear_model regression optimization_solver objective_function engines
ridge_regression += linear_model regression
naivebayes += classifier
stump += classifier
adaboost += classifier decision_tree stump
brownboost += classifier decision_tree stump
logitboost += classifier regression decision_tree stump
svm += classifier kernel_function multiclassclassifier
multiclassclassifier += classifier
k_nearest_neighbors += engines classifier
logistic_regression += classifier optimization_solver objective_function engines
implicit_als += engines distributions
engines += engines/mt19937 engines/mcg59 engines/mt2203
distributions += distributions/bernoulli distributions/normal distributions/uniform
CORE.ALGORITHMS.FULL := \
adaboost \
assocrules \
brownboost \
cholesky \
classifier \
cordistance \
cosdistance \
covariance \
decision_tree \
distributions \
distributions/bernoulli \
distributions/normal \
distributions/uniform \
dtrees \
dtrees/forest \
dtrees/forest/classification \
dtrees/forest/regression \
dtrees/gbt \
dtrees/gbt/regression \
dtrees/gbt/classification \
dtrees/regression \
dbscan \
elastic_net \
engines \
engines/mcg59 \
engines/mt19937 \
engines/mt2203 \
em \
implicit_als \
kernel_function \
kernel_function/polynomial \
kmeans \
k_nearest_neighbors \
lbfgs \
linear_model \
lasso_regression \
linear_regression \
logistic_regression \
logitboost \
low_order_moments \
multiclassclassifier \
naivebayes \
normalization/minmax \
normalization/zscore \
objective_function \
objective_function/cross_entropy_loss \
objective_function/logistic_loss \
objective_function/mse \
optimization_solver \
optimization_solver/sgd \
optimization_solver/lbfgs \
optimization_solver/adagrad \
optimization_solver/saga \
optimization_solver/coordinate_descent \
outlierdetection_multivariate \
outlierdetection_bacon \
outlierdetection_univariate \
pca \
pca/metrics \
pca/transform \
pivoted_qr \
qr \
quantiles \
regression \
ridge_regression \
sgd \
sorting \
stump \
svd \
svm \
weak_learner/inner
CORE.ALGORITHMS := $(if $(CORE.ALGORITHMS.CUSTOM), $(CORE.ALGORITHMS.CUSTOM), $(CORE.ALGORITHMS.FULL))
CORE.ALGORITHMS := $(sort $(foreach alg,$(CORE.ALGORITHMS),$(foreach alg1,$($(alg)),$(foreach alg2,$($(alg1)),$($(alg2)) $(alg2)) $(alg1)) $(alg)))
CORE.ALGORITHMS.INC := \
association_rules \
boosting \
cholesky \
classifier \
covariance \
decision_forest \
decision_tree \
distance \
distributions \
dbscan \
elastic_net \
engines \
em \
gradient_boosted_trees \
implicit_als \
kernel_function \
kmeans \
k_nearest_neighbors \
lasso_regression \
linear_model \
linear_regression \
logistic_regression \
moments \
multi_class_classifier \
naive_bayes \
normalization \
optimization_solver \
optimization_solver/adagrad \
optimization_solver/iterative_solver \
optimization_solver/lbfgs \
optimization_solver/objective_function \
optimization_solver/precomputed \
optimization_solver/sgd \
optimization_solver/saga \
optimization_solver/coordinate_descent \
outlier_detection \
pca \
pca/metrics \
pca/transform \
pivoted_qr \
qr \
quantiles \
regression \
ridge_regression \
sorting \
stump \
svd \
svm \
tree_utils \
weak_learner
CORE.SERVICES := compression \
data_management
# Dependencies between oneAPI and core (CPU-only) algorithms
ONEAPI.ALGOS.basic_statistics := CORE.moments
ONEAPI.ALGOS.covariance := CORE.covariance
ONEAPI.ALGOS.decision_forest := CORE.decision_forest decision_tree
ONEAPI.ALGOS.kmeans := CORE.kmeans
ONEAPI.ALGOS.kmeans_init := CORE.kmeans
ONEAPI.ALGOS.knn := CORE.k_nearest_neighbors
ONEAPI.ALGOS.linear_kernel := CORE.kernel_function
ONEAPI.ALGOS.pca := CORE.pca
ONEAPI.ALGOS.polynomial_kernel := CORE.kernel_function
ONEAPI.ALGOS.sigmoid_kernel := CORE.kernel_function
ONEAPI.ALGOS.rbf_kernel := CORE.kernel_function
ONEAPI.ALGOS.svm := CORE.svm
# List of algorithms in oneAPI part
ONEAPI.ALGOS := \
basic_statistics \
chebyshev_distance \
cosine_distance \
covariance \
decision_forest \
decision_tree \
kmeans \
kmeans_init \
knn \
linear_kernel \
louvain \
minkowski_distance \
pca \
polynomial_kernel \
sigmoid_kernel \
rbf_kernel \
svm \
jaccard \
triangle_counting \
shortest_paths \
subgraph_isomorphism \
connected_components
ONEAPI.IO := \
csv
JJ.ALGORITHMS := adaboost \
adaboost/prediction \
adaboost/quality_metric_set \
adaboost/training \
association_rules \
bacon_outlier_detection \
bf_knn_classification \
bf_knn_classification/prediction \
bf_knn_classification/training \
binary_adaboost \
binary_adaboost/prediction \
binary_adaboost/quality_metric_set \
binary_adaboost/training \
boosting \
boosting/prediction \
boosting/training \
brownboost \
brownboost/prediction \
brownboost/quality_metric_set \
brownboost/training \
cholesky \
classifier \
classifier/prediction \
classifier/quality_metric \
classifier/quality_metric/binary_confusion_matrix \
classifier/quality_metric/multi_class_confusion_matrix \
classifier/training \
cordistance \
cosdistance \
covariance \
dbscan \
decision_forest \
decision_forest/classification \
decision_forest/classification/prediction \
decision_forest/classification/training \
decision_forest/regression \
decision_forest/regression/prediction \
decision_forest/regression/training \
decision_tree \
decision_tree/classification \
decision_tree/classification/prediction \
decision_tree/classification/training \
decision_tree/regression \
decision_tree/regression/prediction \
decision_tree/regression/training \
distributions \
distributions/bernoulli \
distributions/normal \
distributions/uniform \
elastic_net \
elastic_net/training \
elastic_net/prediction \
engines \
engines/mcg59 \
engines/mt19937 \
engines/mt2203 \
em_gmm \
em_gmm/init \
gbt \
gbt/classification \
gbt/classification/prediction \
gbt/classification/training \
gbt/regression \
gbt/regression/prediction \
gbt/regression/training \
gbt/training \
implicit_als \
implicit_als/prediction \
implicit_als/prediction/ratings \
implicit_als/training \
implicit_als/training/init \
kernel_function \
kernel_function/linear \
kernel_function/rbf \
kdtree_knn_classification \
kdtree_knn_classification/prediction \
kdtree_knn_classification/training \
kmeans \
kmeans/init \
lasso_regression \
lasso_regression/training \
lasso_regression/prediction \
linear_regression \
linear_regression/prediction \
linear_regression/quality_metric \
linear_regression/quality_metric_set \
linear_regression/training \
logistic_regression \
logistic_regression/prediction \
logistic_regression/training \
logitboost \
logitboost/prediction \
logitboost/quality_metric_set \
logitboost/training \
low_order_moments \
multi_class_classifier \
multi_class_classifier/prediction \
multi_class_classifier/quality_metric_set \
multi_class_classifier/training \
multinomial_naive_bayes \
multinomial_naive_bayes/prediction \
multinomial_naive_bayes/quality_metric_set \
multinomial_naive_bayes/training \
multivariate_outlier_detection \
multivariate_outlier_detection/defaultdense \
multivariate_outlier_detection/bacondense \
normalization/minmax \
normalization/zscore \
optimization_solver \
optimization_solver/cross_entropy_loss \
optimization_solver/logistic_loss \
optimization_solver/objective_function \
optimization_solver/sum_of_functions \
optimization_solver/mse \
optimization_solver/precomputed \
optimization_solver/iterative_solver \
optimization_solver/sgd \
optimization_solver/saga \
optimization_solver/coordinate_descent \
optimization_solver/lbfgs \
optimization_solver/adagrad \
pca \
pca/quality_metric \
pca/quality_metric_set \
pca/transform \
pivoted_qr \
qr \
quality_metric \
quality_metric_set \
quantiles \
ridge_regression \
ridge_regression/prediction \
ridge_regression/training \
regression \
regression/training \
regression/prediction \
sorting \
stump \
stump/prediction \
stump/training \
stump/classification \
stump/classification/training \
stump/classification/prediction \
stump/regression \
stump/regression/training \
stump/regression/prediction \
svd \
svm \
svm/prediction \
svm/quality_metric_set \
svm/training \
tree_utils \
tree_utils/classification \
tree_utils/regression \
univariate_outlier_detection \
weak_learner \
weak_learner/prediction \
weak_learner/training
JJ.DATA_MANAGEMENT := data \
data_source \
compression \
compression/bzip2 \
compression/lzo \
compression/rle \
compression/zlib