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/dports/math/py-keras/Keras-2.4.3/tests/integration_tests/
H A Dtest_datasets.py19 (x_train, y_train), (x_test, y_test) = cifar10.load_data()
21 assert len(x_test) == len(y_test) == 10000
24 assert len(x_test) == len(y_test) == 10000
27 assert len(x_test) == len(y_test) == 10000
37 assert len(x_test) == len(y_test)
38 assert len(x_train) + len(x_test) == 11228
41 assert len(x_test) == len(y_test)
53 assert len(x_test) == len(y_test) == 10000
64 assert len(x_test) == len(y_test)
76 assert len(x_test) == len(y_test)
[all …]
/dports/math/py-keras/Keras-2.4.3/examples/
H A Dmnist_cnn.py24 (x_train, y_train), (x_test, y_test) = mnist.load_data()
28 x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols) variable
32 x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1) variable
36 x_test = x_test.astype('float32') variable
38 x_test /= 255
41 print(x_test.shape[0], 'test samples')
67 validation_data=(x_test, y_test))
68 score = model.evaluate(x_test, y_test, verbose=0)
H A Dmnist_swwae.py104 (x_train, _), (x_test, _) = mnist.load_data()
107 x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols) variable
109 x_test = x_test.astype('float32') variable
111 x_test /= 255
114 print(x_test.shape[0], 'test samples')
133 x_test = np.pad(x_test, [[0, 0], [0, 0], [2, 2], [2, 2]], mode='constant') variable
138 x_test = x_test[:, :, :-1, :-1] variable
179 validation_data=(x_test, x_test))
182 x_recon = model.predict(x_test[:25])
183 x_plot = np.concatenate((x_test[:25], x_recon), axis=1)
H A Dmnist_hierarchical_rnn.py53 (x_train, y_train), (x_test, y_test) = mnist.load_data()
57 x_test = x_test.reshape(x_test.shape[0], 28, 28, 1) variable
59 x_test = x_test.astype('float32') variable
61 x_test /= 255
64 print(x_test.shape[0], 'test samples')
93 validation_data=(x_test, y_test))
96 scores = model.evaluate(x_test, y_test, verbose=0)
H A Dmnist_irnn.py35 (x_train, y_train), (x_test, y_test) = mnist.load_data()
38 x_test = x_test.reshape(x_test.shape[0], -1, 1) variable
40 x_test = x_test.astype('float32') variable
42 x_test /= 255
45 print(x_test.shape[0], 'test samples')
69 validation_data=(x_test, y_test))
71 scores = model.evaluate(x_test, y_test, verbose=0)
H A Dmnist_mlp.py21 (x_train, y_train), (x_test, y_test) = mnist.load_data()
24 x_test = x_test.reshape(10000, 784) variable
26 x_test = x_test.astype('float32') variable
28 x_test /= 255
30 print(x_test.shape[0], 'test samples')
53 validation_data=(x_test, y_test))
54 score = model.evaluate(x_test, y_test, verbose=0)
H A Dmnist_sklearn_wrapper.py24 (x_train, y_train), (x_test, y_test) = mnist.load_data()
28 x_test = x_test.reshape(x_test.shape[0], 1, img_rows, img_cols) variable
32 x_test = x_test.reshape(x_test.shape[0], img_rows, img_cols, 1) variable
36 x_test = x_test.astype('float32') variable
38 x_test /= 255
100 metric_values = best_model.evaluate(x_test, y_test)
H A Dmnist_transfer_cnn.py45 x_test = test[0].reshape((test[0].shape[0],) + input_shape)
47 x_test = x_test.astype('float32')
49 x_test /= 255
52 print(x_test.shape[0], 'test samples')
67 validation_data=(x_test, y_test))
69 score = model.evaluate(x_test, y_test, verbose=0)
75 (x_train, y_train), (x_test, y_test) = mnist.load_data()
80 x_test_lt5 = x_test[y_test < 5]
85 x_test_gte5 = x_test[y_test >= 5]
H A Dlstm_stateful.py166 x_test = x[to_train:]
172 x_test = x_test[:-1 * to_drop]
178 x_test = reshape_3(x_test)
184 return (x_train, y_train), (x_test, y_test)
187 (x_train, y_train), (x_test, y_test) = split_data(data_input, expected_output)
190 print('x_test.shape: ', x_test.shape)
207 validation_data=(x_test, y_test),
212 predicted_stateful = model_stateful.predict(x_test, batch_size=batch_size)
223 validation_data=(x_test, y_test),
227 predicted_stateless = model_stateless.predict(x_test, batch_size=batch_size)
H A Dimdb_fasttext.py80 (x_train, y_train), (x_test, y_test) = imdb.load_data(num_words=max_features)
82 print(len(x_test), 'test sequences')
86 np.mean(list(map(len, x_test)), dtype=int)))
109 x_test = add_ngram(x_test, token_indice, ngram_range) variable
113 np.mean(list(map(len, x_test)), dtype=int)))
117 x_test = sequence.pad_sequences(x_test, maxlen=maxlen) variable
119 print('x_test shape:', x_test.shape)
144 validation_data=(x_test, y_test))
/dports/science/py-dipy/dipy-1.4.1/dipy/nn/tests/
H A Dtest_tf.py23 (x_train, y_train), (x_test, y_test) = mnist.load_data()
24 x_train, x_test = x_train / 255.0, x_test / 255.0
38 model.evaluate(x_test, y_test, verbose=2)
49 (x_train, y_train), (x_test, y_test) = mnist.load_data()
50 x_train, x_test = x_train / 255.0, x_test / 255.0
54 slp.evaluate(x_test, y_test, verbose=2)
55 x_test_prob = slp.predict(x_test)
69 (x_train, y_train), (x_test, y_test) = mnist.load_data()
70 x_train, x_test = x_train / 255.0, x_test / 255.0
74 mlp.evaluate(x_test, y_test, verbose=2)
[all …]
/dports/biology/ncbi-blast+/ncbi-blast-2.12.0+-src/c++/scripts/common/check/
H A Dcheck_add.sh29 x_test=$2
51 if test ! -f "$x_srcdir/Makefile.$x_test.app"; then
52 echo "Warning: File \"$x_srcdir/Makefile.$x_test.app\" not found."
57 x_app=`grep '^ *APP[ =]' "$x_srcdir/Makefile.$x_test.app"`
60 x_tpath=$x_srcdir_rel/$x_test
61 if grep -c '^ *CHECK_CMD' $x_srcdir/Makefile.$x_test.app > /dev/null ; then
90 x_run=`grep '^ *CHECK_CMD' "$x_srcdir/Makefile.$x_test.app"`
98 x_files=`grep '^ *CHECK_COPY' "$x_srcdir/Makefile.$x_test.app" | sed -e 's/^.*=//' -e 's/^[ ]*//'`
100 x_timeout=`grep '^ *CHECK_TIMEOUT' "$x_srcdir/Makefile.$x_test.app" | sed -e 's/^.*=//' -e 's/^[ ]*…
103 x_requires=`grep '^ *CHECK_REQUIRES' "$x_srcdir/Makefile.$x_test.app" | sed -e 's/^.*=//' -e 's/^[ …
[all …]
/dports/biology/ncbi-cxx-toolkit/ncbi_cxx--25_2_0/scripts/common/check/
H A Dcheck_add.sh29 x_test=$2
51 if test ! -f "$x_srcdir/Makefile.$x_test.app"; then
52 echo "Warning: File \"$x_srcdir/Makefile.$x_test.app\" not found."
57 x_app=`grep '^ *APP[ =]' "$x_srcdir/Makefile.$x_test.app"`
60 x_tpath=$x_srcdir_rel/$x_test
61 if grep -c '^ *CHECK_CMD' $x_srcdir/Makefile.$x_test.app > /dev/null ; then
90 x_run=`grep '^ *CHECK_CMD' "$x_srcdir/Makefile.$x_test.app"`
98 x_files=`grep '^ *CHECK_COPY' "$x_srcdir/Makefile.$x_test.app" | sed -e 's/^.*=//' -e 's/^[ ]*//'`
100 x_timeout=`grep '^ *CHECK_TIMEOUT' "$x_srcdir/Makefile.$x_test.app" | sed -e 's/^.*=//' -e 's/^[ ]*…
103 x_requires=`grep '^ *CHECK_REQUIRES' "$x_srcdir/Makefile.$x_test.app" | sed -e 's/^.*=//' -e 's/^[ …
[all …]
/dports/math/openturns/openturns-1.18/python/doc/examples/meta_modeling/kriging_metamodel/
H A Dplot_kriging_chose_trend.py76 y_test = model(x_test)
138 y_test = metamodel(x_test)
139 curve = ot.Curve(x_test, y_test)
170 y_test = myTrend(myTransform(x_test))
171 curve = ot.Curve(x_test, y_test)
233 y_test = metamodel(x_test)
234 curve = ot.Curve(x_test, y_test)
265 curve = ot.Curve(x_test, y_test)
311 y_test = metamodel(x_test)
312 curve = ot.Curve(x_test, y_test)
[all …]
H A Dplot_kriging_simulate.py73 y_test = g(x_test)
89 def plot_data_test(x_test, y_test): argument
91 graphF = ot.Curve(x_test, y_test)
100 graph.add(plot_data_test(x_test, y_test))
125 y_test_MM = krigeageMM(x_test)
132 def plot_data_kriging(x_test, y_test_MM): argument
134 graphK = ot.Curve(x_test, y_test_MM)
142 graph.add(plot_data_test(x_test, y_test))
176 def deleteCommonValues(x_train, x_test): argument
181 x_test_filtered = x_test # Initialize
[all …]
H A Dplot_kriging_1d.py75 x_test = myRegularGrid.getVertices() variable
76 y_test = g(x_test)
92 def plot_data_test(x_test, y_test): argument
94 graphF = ot.Curve(x_test, y_test)
103 graph.add(plot_data_test(x_test, y_test))
130 y_test_MM = krigeageMM(x_test)
137 def plot_data_kriging(x_test, y_test_MM): argument
139 graphK = ot.Curve(x_test, y_test_MM)
147 graph.add(plot_data_test(x_test, y_test))
203 curve = ot.Curve(x_test, conditionalSigma)
[all …]
/dports/science/py-dlib/dlib-19.22/dlib/svm/
H A Dcross_validate_regression_trainer.h24 const std::vector<sample_type>& x_test, in test_regression_function() argument
30 DLIB_ASSERT( is_learning_problem(x_test,y_test) == true, in test_regression_function()
34 << is_learning_problem(x_test,y_test)); in test_regression_function()
39 for (unsigned long i = 0; i < x_test.size(); ++i) in test_regression_function()
42 const double output = reg_funct(x_test[i]); in test_regression_function()
89 std::vector<sample_type> x_test, x_train; in cross_validate_regression_trainer() local
98 x_test.clear(); in cross_validate_regression_trainer()
106 x_test.push_back(x[next_test_idx]); in cross_validate_regression_trainer()
126 for (unsigned long j = 0; j < x_test.size(); ++j) in cross_validate_regression_trainer()
129 const double output = df(x_test[j]); in cross_validate_regression_trainer()
/dports/science/dlib-cpp/dlib-19.22/dlib/svm/
H A Dcross_validate_regression_trainer.h24 const std::vector<sample_type>& x_test, in test_regression_function() argument
30 DLIB_ASSERT( is_learning_problem(x_test,y_test) == true, in test_regression_function()
34 << is_learning_problem(x_test,y_test)); in test_regression_function()
39 for (unsigned long i = 0; i < x_test.size(); ++i) in test_regression_function()
42 const double output = reg_funct(x_test[i]); in test_regression_function()
89 std::vector<sample_type> x_test, x_train; in cross_validate_regression_trainer() local
98 x_test.clear(); in cross_validate_regression_trainer()
106 x_test.push_back(x[next_test_idx]); in cross_validate_regression_trainer()
126 for (unsigned long j = 0; j < x_test.size(); ++j) in cross_validate_regression_trainer()
129 const double output = df(x_test[j]); in cross_validate_regression_trainer()
/dports/lang/gcc10/gcc-10.3.0/libgo/go/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark
/dports/lang/go-devel/go-becaeea1199b875bc24800fa88f2f4fea119bf78/src/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark
/dports/lang/gcc11/gcc-11.2.0/libgo/go/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark
/dports/lang/gcc12-devel/gcc-12-20211205/libgo/go/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark
/dports/lang/gcc11-devel/gcc-11-20211009/libgo/go/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark
/dports/lang/gcc9-devel/gcc-9-20211007/libgo/go/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark
/dports/misc/cxx_atomics_pic/gcc-11.2.0/libgo/go/cmd/internal/test2json/testdata/
H A Dbench.test5 x_test.go:8: My benchmark
6 x_test.go:8: My benchmark
7 x_test.go:8: My benchmark
8 x_test.go:8: My benchmark
9 x_test.go:8: My benchmark
10 x_test.go:8: My benchmark

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