/
makefile.lst
executable file
·417 lines (402 loc) · 28 KB
/
makefile.lst
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
#===============================================================================
# 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
# 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 tsne
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
tsne +=
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 \
tsne
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 \
tsne
CORE.SERVICES := data_management
# Dependencies between oneAPI and core (CPU-only) algorithms
ONEAPI.ALGOS.basic_statistics := CORE.moments
ONEAPI.ALGOS.covariance := CORE.covariance
ONEAPI.ALGOS.dbscan := CORE.dbscan
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.objective_function := CORE.objective_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 \
dbscan \
decision_forest \
decision_tree \
kmeans \
kmeans_init \
knn \
linear_kernel \
linear_regression \
logistic_regression \
logloss_objective \
louvain \
newton_cg \
minkowski_distance \
objective_function \
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