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makefile.lst
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#===============================================================================
# Copyright 2014-2019 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) Data Analytics Acceleration 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
low_order_moments +=
quantiles +=
covariance +=
cosdistance +=
cordistance += covariance
kmeans += kmeans/inner engines distributions
pca += pca/inner 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 +=
sorting +=
normalization += normalization/minmax normalization/zscore normalization/zscore/inner low_order_moments
optimization_solver += optimization_solver/adagrad optimization_solver/adagrad/inner optimization_solver/lbfgs optimization_solver/lbfgs/inner optimization_solver/sgd optimization_solver/sgd/inner optimization_solver/saga optimization_solver/saga/inner optimization_solver/inner optimization_solver/coordinate_descent objective_function engines distributions
coordinate_descent += optimization_solver/coordinate_descent objective_function engines distributions
objective_function += objective_function/inner objective_function/cross_entropy_loss objective_function/cross_entropy_loss/inner objective_function/logistic_loss objective_function/logistic_loss/inner objective_function/mse objective_function/mse/inner
decision_tree += decision_tree/inner regression classifier classifier/inner
dtrees/gbt += dtrees dtrees/gbt/classification dtrees/gbt/classification/inner dtrees/gbt/regression engines classifier classifier/inner regression objective_function
dtrees/forest += dtrees dtrees/regression dtrees/forest/classification dtrees/forest/classification/inner dtrees/forest/regression engines classifier classifier/inner regression distributions
linear_regression += linear_model regression
lasso_regression += linear_model regression optimization_solver objective_function engines
ridge_regression += linear_model regression
naivebayes += classifier classifier/inner
stump += stump/inner classifier classifier/inner weak_learner/inner
adaboost += classifier classifier/inner decision_tree stump boosting weak_learner/inner adaboost/inner
brownboost += brownboost/inner boosting/inner weak_learner/inner classifier classifier/inner decision_tree stump stump/inner
logitboost += logitboost/inner boosting/inner weak_learner/inner classifier classifier/inner regression decision_tree stump stump/inner
svm += svm/inner classifier classifier/inner kernel_function multiclassclassifier multiclassclassifier/inner
multiclassclassifier += multiclassclassifier/inner classifier classifier/inner
k_nearest_neighbors += k_nearest_neighbors/inner engines classifier classifier/inner
logistic_regression += logistic_regression/inner classifier classifier/inner 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 \
adaboost/inner \
assocrules \
boosting/inner \
brownboost \
brownboost/inner \
cholesky \
classifier \
classifier/inner \
cordistance \
cosdistance \
covariance \
decision_tree \
decision_tree/inner \
distributions \
distributions/bernoulli \
distributions/normal \
distributions/uniform \
dtrees \
dtrees/forest \
dtrees/forest/classification \
dtrees/forest/classification/inner \
dtrees/forest/regression \
dtrees/gbt \
dtrees/gbt/regression \
dtrees/gbt/classification \
dtrees/regression \
dbscan \
engines \
engines/mcg59 \
engines/mt19937 \
engines/mt2203 \
em \
implicit_als \
kernel_function \
kmeans/inner \
kmeans \
k_nearest_neighbors \
k_nearest_neighbors/inner \
lbfgs \
linear_model \
lasso_regression \
linear_regression \
logistic_regression \
logistic_regression/inner \
logitboost \
logitboos/inner \
low_order_moments \
multiclassclassifier \
multiclassclassifier/inner \
naivebayes \
normalization/minmax \
normalization/zscore \
normalization/zscore/inner \
objective_function \
objective_function/inner \
objective_function/cross_entropy_loss \
objective_function/cross_entropy_loss/inner \
objective_function/logistic_loss \
objective_function/logistic_loss/inner \
objective_function/mse \
objective_function/mse/inner \
optimization_solver \
optimization_solver/inner \
optimization_solver/sgd \
optimization_solver/sgd/inner \
optimization_solver/lbfgs \
optimization_solver/lbfgs/inner \
optimization_solver/adagrad \
optimization_solver/adagrad/inner \
optimization_solver/saga \
optimization_solver/saga/inner \
optimization_solver/coordinate_descent \
outlierdetection_multivariate \
outlierdetection_bacon \
outlierdetection_univariate \
pca \
pca/inner \
pca/metrics \
pca/transform \
pivoted_qr \
qr \
quantiles \
regression \
ridge_regression \
sgd \
sorting \
stump \
stump/inner \
svd \
svm \
svm/inner \
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 \
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
JJ.ALGORITHMS := adaboost \
adaboost/prediction \
adaboost/quality_metric_set \
adaboost/training \
association_rules \
bacon_outlier_detection \
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 \
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