Created
May 8, 2021 16:51
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system: aarch64-linux | build_time: 51 seconds | https://github.com/NixOS/nixpkgs/pull/122207
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Sourcing python-remove-tests-dir-hook | |
Sourcing python-catch-conflicts-hook.sh | |
Sourcing python-remove-bin-bytecode-hook.sh | |
Sourcing setuptools-build-hook | |
Using setuptoolsBuildPhase | |
Using setuptoolsShellHook | |
Sourcing pip-install-hook | |
Using pipInstallPhase | |
Sourcing python-imports-check-hook.sh | |
Using pythonImportsCheckPhase | |
Sourcing python-namespaces-hook | |
Sourcing setuptools-check-hook | |
Using setuptoolsCheckPhase | |
@nix { "action": "setPhase", "phase": "unpackPhase" } | |
unpacking sources | |
unpacking source archive /nix/store/3dflrfgyic24kfmd9pg2hk7mml59pll0-source | |
source root is source | |
setting SOURCE_DATE_EPOCH to timestamp 315619200 of file source/tutorial_examples.ipynb | |
@nix { "action": "setPhase", "phase": "patchPhase" } | |
patching sources | |
applying patch /nix/store/gz5smbg2q04v8vlgj54fdrgdcsn83z47-19caf8616fc194402678aa67917db334ad02852a.patch | |
patching file mlrose/neural.py | |
@nix { "action": "setPhase", "phase": "updateAutotoolsGnuConfigScriptsPhase" } | |
updateAutotoolsGnuConfigScriptsPhase | |
@nix { "action": "setPhase", "phase": "configurePhase" } | |
configuring | |
no configure script, doing nothing | |
@nix { "action": "setPhase", "phase": "buildPhase" } | |
building | |
Executing setuptoolsBuildPhase | |
running bdist_wheel | |
running build | |
running build_py | |
creating build | |
creating build/lib | |
creating build/lib/mlrose | |
copying mlrose/opt_probs.py -> build/lib/mlrose | |
copying mlrose/neural.py -> build/lib/mlrose | |
copying mlrose/activation.py -> build/lib/mlrose | |
copying mlrose/algorithms.py -> build/lib/mlrose | |
copying mlrose/__init__.py -> build/lib/mlrose | |
copying mlrose/fitness.py -> build/lib/mlrose | |
copying mlrose/decay.py -> build/lib/mlrose | |
installing to build/bdist.linux-aarch64/wheel | |
running install | |
running install_lib | |
creating build/bdist.linux-aarch64 | |
creating build/bdist.linux-aarch64/wheel | |
creating build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/opt_probs.py -> build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/neural.py -> build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/activation.py -> build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/algorithms.py -> build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/__init__.py -> build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/fitness.py -> build/bdist.linux-aarch64/wheel/mlrose | |
copying build/lib/mlrose/decay.py -> build/bdist.linux-aarch64/wheel/mlrose | |
running install_egg_info | |
running egg_info | |
creating mlrose.egg-info | |
writing mlrose.egg-info/PKG-INFO | |
writing dependency_links to mlrose.egg-info/dependency_links.txt | |
writing requirements to mlrose.egg-info/requires.txt | |
writing top-level names to mlrose.egg-info/top_level.txt | |
writing manifest file 'mlrose.egg-info/SOURCES.txt' | |
reading manifest file 'mlrose.egg-info/SOURCES.txt' | |
writing manifest file 'mlrose.egg-info/SOURCES.txt' | |
Copying mlrose.egg-info to build/bdist.linux-aarch64/wheel/mlrose-1.3.0-py3.9.egg-info | |
running install_scripts | |
adding license file "LICENSE" (matched pattern "LICEN[CS]E*") | |
creating build/bdist.linux-aarch64/wheel/mlrose-1.3.0.dist-info/WHEEL | |
creating 'dist/mlrose-1.3.0-py3-none-any.whl' and adding 'build/bdist.linux-aarch64/wheel' to it | |
adding 'mlrose/__init__.py' | |
adding 'mlrose/activation.py' | |
adding 'mlrose/algorithms.py' | |
adding 'mlrose/decay.py' | |
adding 'mlrose/fitness.py' | |
adding 'mlrose/neural.py' | |
adding 'mlrose/opt_probs.py' | |
adding 'mlrose-1.3.0.dist-info/LICENSE' | |
adding 'mlrose-1.3.0.dist-info/METADATA' | |
adding 'mlrose-1.3.0.dist-info/WHEEL' | |
adding 'mlrose-1.3.0.dist-info/top_level.txt' | |
adding 'mlrose-1.3.0.dist-info/RECORD' | |
removing build/bdist.linux-aarch64/wheel | |
Finished executing setuptoolsBuildPhase | |
@nix { "action": "setPhase", "phase": "installPhase" } | |
installing | |
Executing pipInstallPhase | |
/build/source/dist /build/source | |
Processing ./mlrose-1.3.0-py3-none-any.whl | |
Requirement already satisfied: scikit-learn in /nix/store/y008qj7qh51kizw04y097762j56lbcjv-python3.9-scikit-learn-0.24.1/lib/python3.9/site-packages (from mlrose==1.3.0) (0.24.1) | |
Requirement already satisfied: numpy in /nix/store/j6694avzzsgvljcdi4xk9za47bgcl6yp-python3.9-numpy-1.20.2/lib/python3.9/site-packages (from mlrose==1.3.0) (1.20.2) | |
Requirement already satisfied: scipy in /nix/store/xw1wxxlqgfd60w15svgsyzbaxvhisxky-python3.9-scipy-1.6.1/lib/python3.9/site-packages (from mlrose==1.3.0) (1.6.1) | |
Requirement already satisfied: threadpoolctl>=2.0.0 in /nix/store/a6v7y3z6gdsnhk8wjbalsih2miyh93sp-python3.9-threadpoolctl-2.1.0/lib/python3.9/site-packages (from scikit-learn->mlrose==1.3.0) (2.1.0) | |
Requirement already satisfied: joblib>=0.11 in /nix/store/pq4x7vga9r9gx94igz7d8ywzggckl8rg-python3.9-joblib-1.0.1/lib/python3.9/site-packages (from scikit-learn->mlrose==1.3.0) (1.0.1) | |
Installing collected packages: mlrose | |
Successfully installed mlrose-1.3.0 | |
/build/source | |
Finished executing pipInstallPhase | |
@nix { "action": "setPhase", "phase": "fixupPhase" } | |
post-installation fixup | |
shrinking RPATHs of ELF executables and libraries in /nix/store/xdbjx1y8ns7881c2v9qqv3lygirfdp1c-python3.9-mlrose-1.3.0 | |
strip is /nix/store/ppvq7f8cx4q4c7xjhp7ghs7pb5i8j7z9-binutils-2.35.1/bin/strip | |
stripping (with command strip and flags -S) in /nix/store/xdbjx1y8ns7881c2v9qqv3lygirfdp1c-python3.9-mlrose-1.3.0/lib | |
patching script interpreter paths in /nix/store/xdbjx1y8ns7881c2v9qqv3lygirfdp1c-python3.9-mlrose-1.3.0 | |
checking for references to /build/ in /nix/store/xdbjx1y8ns7881c2v9qqv3lygirfdp1c-python3.9-mlrose-1.3.0... | |
Executing pythonRemoveTestsDir | |
Finished executing pythonRemoveTestsDir | |
@nix { "action": "setPhase", "phase": "installCheckPhase" } | |
running install tests | |
no Makefile or custom installCheckPhase, doing nothing | |
@nix { "action": "setPhase", "phase": "pythonCatchConflictsPhase" } | |
pythonCatchConflictsPhase | |
@nix { "action": "setPhase", "phase": "pythonRemoveBinBytecodePhase" } | |
pythonRemoveBinBytecodePhase | |
@nix { "action": "setPhase", "phase": "pythonImportsCheckPhase" } | |
pythonImportsCheckPhase | |
Executing pythonImportsCheckPhase | |
@nix { "action": "setPhase", "phase": "setuptoolsCheckPhase" } | |
setuptoolsCheckPhase | |
Executing setuptoolsCheckPhase | |
running test | |
WARNING: Testing via this command is deprecated and will be removed in a future version. Users looking for a generic test entry point independent of test runner are encouraged to use tox. | |
running egg_info | |
writing mlrose.egg-info/PKG-INFO | |
writing dependency_links to mlrose.egg-info/dependency_links.txt | |
writing requirements to mlrose.egg-info/requires.txt | |
writing top-level names to mlrose.egg-info/top_level.txt | |
reading manifest file 'mlrose.egg-info/SOURCES.txt' | |
writing manifest file 'mlrose.egg-info/SOURCES.txt' | |
running build_ext | |
test_calculate_updates (tests.test_opt_probs.TestContinuousOpt) | |
Test calculate_updates method ... ok | |
test_find_neighbors_range_eq_step (tests.test_opt_probs.TestContinuousOpt) | |
Test find_neighbors method when range equals step size ... ok | |
test_find_neighbors_range_gt_step (tests.test_opt_probs.TestContinuousOpt) | |
Test find_neighbors method when range greater than step size ... ok | |
test_random (tests.test_opt_probs.TestContinuousOpt) | |
Test random method ... ok | |
test_random_neighbor_range_eq_step (tests.test_opt_probs.TestContinuousOpt) | |
Test random_neighbor method when range equals step size ... ok | |
test_random_neighbor_range_gt_step (tests.test_opt_probs.TestContinuousOpt) | |
Test random_neighbor method when range greater than step size ... ok | |
test_random_pop (tests.test_opt_probs.TestContinuousOpt) | |
Test random_pop method ... ok | |
test_reproduce_mut0 (tests.test_opt_probs.TestContinuousOpt) | |
Test reproduce method when mutation_prob is 0 ... ok | |
test_reproduce_mut1_range_eq_step (tests.test_opt_probs.TestContinuousOpt) | |
Test reproduce method when mutation_prob is 1 and range equals ... ok | |
test_reproduce_mut1_range_gt_step (tests.test_opt_probs.TestContinuousOpt) | |
Test reproduce method when mutation_prob is 1 and range is ... ok | |
test_update_state_in_range (tests.test_opt_probs.TestContinuousOpt) | |
Test update_state method where all updated values are within the ... ok | |
test_update_state_outside_range (tests.test_opt_probs.TestContinuousOpt) | |
Test update_state method where some updated values are outside the ... ok | |
test_eval_node_probs (tests.test_opt_probs.TestDiscreteOpt) | |
Test eval_node_probs method ... ok | |
test_find_neighbors_max2 (tests.test_opt_probs.TestDiscreteOpt) | |
Test find_neighbors method when max_val is equal to 2 ... ok | |
test_find_neighbors_max_gt2 (tests.test_opt_probs.TestDiscreteOpt) | |
Test find_neighbors method when max_val is greater than 2 ... ok | |
test_find_sample_order (tests.test_opt_probs.TestDiscreteOpt) | |
Test find_sample_order method ... ok | |
test_find_top_pct_max (tests.test_opt_probs.TestDiscreteOpt) | |
Test find_top_pct method for a maximization problem ... ok | |
test_find_top_pct_min (tests.test_opt_probs.TestDiscreteOpt) | |
Test find_top_pct method for a minimization problem ... ok | |
test_random (tests.test_opt_probs.TestDiscreteOpt) | |
Test random method ... ok | |
test_random_neighbor_max2 (tests.test_opt_probs.TestDiscreteOpt) | |
Test random_neighbor method when max_val is equal to 2 ... ok | |
test_random_neighbor_max_gt2 (tests.test_opt_probs.TestDiscreteOpt) | |
Test random_neighbor method when max_val is greater than 2 ... ok | |
test_random_pop (tests.test_opt_probs.TestDiscreteOpt) | |
Test random_pop method ... ok | |
test_reproduce_mut0 (tests.test_opt_probs.TestDiscreteOpt) | |
Test reproduce method when mutation_prob is 0 ... ok | |
test_reproduce_mut1_max2 (tests.test_opt_probs.TestDiscreteOpt) | |
Test reproduce method when mutation_prob is 1 and max_val is 2 ... ok | |
test_reproduce_mut1_max_gt2 (tests.test_opt_probs.TestDiscreteOpt) | |
Test reproduce method when mutation_prob is 1 and max_val is ... ok | |
test_sample_pop (tests.test_opt_probs.TestDiscreteOpt) | |
Test sample_pop method ... ok | |
test_best_child_max (tests.test_opt_probs.TestOptProb) | |
Test best_child method for a maximization problem ... ok | |
test_best_child_min (tests.test_opt_probs.TestOptProb) | |
Test best_child method for a minimization problem ... ok | |
test_best_neighbor_max (tests.test_opt_probs.TestOptProb) | |
Test best_neighbor method for a maximization problem ... ok | |
test_best_neighbor_min (tests.test_opt_probs.TestOptProb) | |
Test best_neighbor method for a minimization problem ... ok | |
test_eval_fitness_max (tests.test_opt_probs.TestOptProb) | |
Test eval_fitness method for a maximization problem ... ok | |
test_eval_fitness_min (tests.test_opt_probs.TestOptProb) | |
Test eval_fitness method for a minimization problem ... ok | |
test_eval_mate_probs (tests.test_opt_probs.TestOptProb) | |
Test eval_mate_probs method ... ok | |
test_eval_mate_probs_all_zero (tests.test_opt_probs.TestOptProb) | |
Test eval_mate_probs method when all states have zero fitness ... ok | |
test_set_population_max (tests.test_opt_probs.TestOptProb) | |
Test set_population method for a maximization problem ... ok | |
test_set_population_min (tests.test_opt_probs.TestOptProb) | |
Test set_population method for a minimization problem ... ok | |
test_set_state_max (tests.test_opt_probs.TestOptProb) | |
Test set_state method for a maximization problem ... ok | |
test_set_state_min (tests.test_opt_probs.TestOptProb) | |
Test set_state method for a minimization problem ... ok | |
test_adjust_probs_all_zero (tests.test_opt_probs.TestTSPOpt) | |
Test adjust_probs method when all elements in input vector sum to ... ok | |
test_adjust_probs_non_zero (tests.test_opt_probs.TestTSPOpt) | |
Test adjust_probs method when all elements in input vector sum to ... ok | |
test_find_neighbors (tests.test_opt_probs.TestTSPOpt) | |
Test find_neighbors method ... ok | |
test_random (tests.test_opt_probs.TestTSPOpt) | |
Test random method ... ok | |
test_random_mimic (tests.test_opt_probs.TestTSPOpt) | |
Test random_mimic method ... ok | |
test_random_neighbor (tests.test_opt_probs.TestTSPOpt) | |
Test random_neighbor method ... ok | |
test_reproduce_mut0 (tests.test_opt_probs.TestTSPOpt) | |
Test reproduce method when mutation_prob is 0 ... ok | |
test_reproduce_mut1 (tests.test_opt_probs.TestTSPOpt) | |
Test reproduce method when mutation_prob is 1 ... ok | |
test_sample_pop (tests.test_opt_probs.TestTSPOpt) | |
Test sample_pop method ... ok | |
test_continuouspeaks_r0 (tests.test_fitness.TestFitness) | |
Test ContinuousPeaks fitness function for case when R = 0. ... ok | |
test_continuouspeaks_r_gt (tests.test_fitness.TestFitness) | |
Test ContinuousPeaks fitness function for case when R > 0. ... ok | |
test_custom_fitness (tests.test_fitness.TestFitness) | |
Test CustomFitness fitness function ... ok | |
test_flipflop (tests.test_fitness.TestFitness) | |
Test FlipFlop fitness function ... ok | |
test_fourpeaks_r0 (tests.test_fitness.TestFitness) | |
Test FourPeaks fitness function for the case where R=0 and max>0 ... ok | |
test_fourpeaks_r0_max0 (tests.test_fitness.TestFitness) | |
Test FourPeaks fitness function for the case where R=0 and max=0 ... ok | |
test_fourpeaks_r_gt0 (tests.test_fitness.TestFitness) | |
Test FourPeaks fitness function for the case where R>0 and max>0 ... ok | |
test_head (tests.test_fitness.TestFitness) | |
Test head function ... ok | |
test_knapsack_weight_gt_max (tests.test_fitness.TestFitness) | |
Test Knapsack fitness function for case where total weight is ... ok | |
test_knapsack_weight_lt_max (tests.test_fitness.TestFitness) | |
Test Knapsack fitness function for case where total weight is less ... ok | |
test_max_k_color (tests.test_fitness.TestFitness) | |
Test MaxKColor fitness function ... ok | |
test_max_run_end (tests.test_fitness.TestFitness) | |
Test max_run function for case where run is at the end of the ... ok | |
test_max_run_middle (tests.test_fitness.TestFitness) | |
Test max_run function for case where run is in the middle of the ... ok | |
test_max_run_start (tests.test_fitness.TestFitness) | |
Test max_run function for case where run is at the start of the ... ok | |
test_onemax (tests.test_fitness.TestFitness) | |
Test OneMax fitness function ... ok | |
test_queens (tests.test_fitness.TestFitness) | |
Test Queens fitness function ... ok | |
test_sixpeaks_r0 (tests.test_fitness.TestFitness) | |
Test SixPeaks fitness function for the case where R=0 and max>0 ... ok | |
test_sixpeaks_r0_max0 (tests.test_fitness.TestFitness) | |
Test SixPeaks fitness function for the case where R=0 and max=0 ... ok | |
test_sixpeaks_r_gt0 (tests.test_fitness.TestFitness) | |
Test SixPeaks fitness function for the case where R>0 and max>0 ... ok | |
test_sixpeaks_r_gt0_max2 (tests.test_fitness.TestFitness) | |
Test SixPeaks fitness function for the case where R>0 and max>0 ... ok | |
test_tail (tests.test_fitness.TestFitness) | |
Test tail function ... ok | |
test_travelling_sales_coords (tests.test_fitness.TestFitness) | |
Test TravellingSales fitness function for case where city nodes ... ok | |
test_travelling_sales_dists (tests.test_fitness.TestFitness) | |
Test TravellingSales fitness function for case where distances ... ok | |
test_travelling_sales_invalid (tests.test_fitness.TestFitness) | |
Test TravellingSales fitness function for invalid tour ... ok | |
test_arith_above_min (tests.test_decay.TestDecay) | |
Test arithmetic decay evaluation function for case where result is ... ok | |
test_arith_below_min (tests.test_decay.TestDecay) | |
Test arithmetic decay evaluation function for case where result is ... ok | |
test_custom (tests.test_decay.TestDecay) | |
Test custom evaluation function ... ok | |
test_exp_above_min (tests.test_decay.TestDecay) | |
Test exponential decay evaluation function for case where result is ... ok | |
test_exp_below_min (tests.test_decay.TestDecay) | |
Test exponential decay evaluation function for case where result is ... ok | |
test_geom_above_min (tests.test_decay.TestDecay) | |
Test geometric decay evaluation function for case where result is ... ok | |
test_geom_below_min (tests.test_decay.TestDecay) | |
Test geometric decay evaluation function for case where result is ... ok | |
test_genetic_alg_continuous_max (tests.test_algorithms.TestAlgorithms) | |
Test genetic_alg function for a continuous maximization problem ... ok | |
test_genetic_alg_continuous_min (tests.test_algorithms.TestAlgorithms) | |
Test genetic_alg function for a continuous minimization problem ... ok | |
test_genetic_alg_discrete_max (tests.test_algorithms.TestAlgorithms) | |
Test genetic_alg function for a discrete maximization problem ... ok | |
test_genetic_alg_discrete_min (tests.test_algorithms.TestAlgorithms) | |
Test genetic_alg function for a discrete minimization problem ... ok | |
test_hill_climb_continuous_max (tests.test_algorithms.TestAlgorithms) | |
Test hill_climb function for a continuous maximization problem ... ok | |
test_hill_climb_continuous_min (tests.test_algorithms.TestAlgorithms) | |
Test hill_climb function for a continuous minimization problem ... ok | |
test_hill_climb_discrete_max (tests.test_algorithms.TestAlgorithms) | |
Test hill_climb function for a discrete maximization problem ... ok | |
test_hill_climb_discrete_min (tests.test_algorithms.TestAlgorithms) | |
Test hill_climb function for a discrete minimization problem ... ok | |
test_hill_climb_max_iters (tests.test_algorithms.TestAlgorithms) | |
Test hill_climb function with max_iters less than infinite ... ok | |
test_mimic_discrete_max (tests.test_algorithms.TestAlgorithms) | |
Test mimic function for a discrete maximization problem ... ok | |
test_mimic_discrete_max_fast (tests.test_algorithms.TestAlgorithms) | |
Test mimic function for a discrete maximization problem using ... FAIL | |
test_mimic_discrete_min (tests.test_algorithms.TestAlgorithms) | |
Test mimic function for a discrete minimization problem ... ok | |
test_mimic_discrete_min_fast (tests.test_algorithms.TestAlgorithms) | |
Test mimic function for a discrete minimization problem using ... ok | |
test_random_hill_climb_continuous_max (tests.test_algorithms.TestAlgorithms) | |
Test random_hill_climb function for a continuous maximization ... ok | |
test_random_hill_climb_continuous_min (tests.test_algorithms.TestAlgorithms) | |
Test random_hill_climb function for a continuous minimization ... ok | |
test_random_hill_climb_discrete_max (tests.test_algorithms.TestAlgorithms) | |
Test random_hill_climb function for a discrete maximization ... ok | |
test_random_hill_climb_discrete_min (tests.test_algorithms.TestAlgorithms) | |
Test random_hill_climb function for a discrete minimization ... ok | |
test_random_hill_climb_max_iters (tests.test_algorithms.TestAlgorithms) | |
Test random_hill_climb function with max_iters less than infinite ... ok | |
test_simulated_annealing_continuous_max (tests.test_algorithms.TestAlgorithms) | |
Test simulated_annealing function for a continuous maximization ... ok | |
test_simulated_annealing_continuous_min (tests.test_algorithms.TestAlgorithms) | |
Test simulated_annealing function for a continuous minimization ... ok | |
test_simulated_annealing_discrete_max (tests.test_algorithms.TestAlgorithms) | |
Test simulated_annealing function for a discrete maximization ... ok | |
test_simulated_annealing_discrete_min (tests.test_algorithms.TestAlgorithms) | |
Test simulated_annealing function for a discrete minimization ... ok | |
test_simulated_annealing_max_iters (tests.test_algorithms.TestAlgorithms) | |
Test simulated_annealing function with max_iters less than ... ok | |
test_identity (tests.test_activation.TestActivation) | |
Test identity activation function ... ok | |
test_identity_deriv (tests.test_activation.TestActivation) | |
Test identity activation function derivative ... ok | |
test_relu (tests.test_activation.TestActivation) | |
Test relu activation function ... ok | |
test_relu_deriv (tests.test_activation.TestActivation) | |
Test relu activation function derivative ... ok | |
test_sigmoid (tests.test_activation.TestActivation) | |
Test sigmoid activation function ... ok | |
test_sigmoid_deriv (tests.test_activation.TestActivation) | |
Test sigmoid activation function derivative ... ok | |
test_softmax (tests.test_activation.TestActivation) | |
Test softmax activation function ... ok | |
test_tanh (tests.test_activation.TestActivation) | |
Test tanh activation function ... ok | |
test_tanh_deriv (tests.test_activation.TestActivation) | |
Test tanh activation function derivative ... ok | |
test_fit_genetic_alg (tests.test_neural.TestLinearRegression) | |
Test fit method using the genetic_alg algorithm ... ok | |
test_fit_gradient_descent (tests.test_neural.TestLinearRegression) | |
Test fit method using the gradient_descent algorithm ... ok | |
test_fit_random_hill_climb (tests.test_neural.TestLinearRegression) | |
Test fit method using the random hill climbing algorithm ... ok | |
test_fit_simulated_annealing (tests.test_neural.TestLinearRegression) | |
Test fit method using the simulated_annealing algorithm ... ok | |
test_predict_bias (tests.test_neural.TestLinearRegression) | |
Test predict method with bias term ... ok | |
test_predict_no_bias (tests.test_neural.TestLinearRegression) | |
Test predict method with no bias term ... ok | |
test_fit_genetic_alg (tests.test_neural.TestLogisticRegression) | |
Test fit method using the genetic_alg algorithm ... ok | |
test_fit_gradient_descent (tests.test_neural.TestLogisticRegression) | |
Test fit method using the gradient_descent algorithm ... ok | |
test_fit_random_hill_climb (tests.test_neural.TestLogisticRegression) | |
Test fit method using the random hill climbing algorithm ... ok | |
test_fit_simulated_annealing (tests.test_neural.TestLogisticRegression) | |
Test fit method using the simulated_annealing algorithm ... ok | |
test_predict_bias (tests.test_neural.TestLogisticRegression) | |
Test predict method with bias term ... ok | |
test_predict_no_bias (tests.test_neural.TestLogisticRegression) | |
Test predict method with no bias term ... ok | |
test_flatten_weights (tests.test_neural.TestNeural) | |
Test flatten_weights function ... ok | |
test_gradient_descent (tests.test_neural.TestNeural) | |
Test gradient_descent function ... ok | |
test_gradient_descent_iter1 (tests.test_neural.TestNeural) | |
Test gradient_descent function gets the correct answer after a ... ok | |
test_unflatten_weights (tests.test_neural.TestNeural) | |
Test unflatten_weights function ... ok | |
test_fit_genetic_alg (tests.test_neural.TestNeuralNetwork) | |
Test fit method using the genetic_alg algorithm ... ok | |
test_fit_gradient_descent (tests.test_neural.TestNeuralNetwork) | |
Test fit method using the gradient_descent algorithm ... ok | |
test_fit_random_hill_climb (tests.test_neural.TestNeuralNetwork) | |
Test fit method using the random hill climbing algorithm ... ok | |
test_fit_simulated_annealing (tests.test_neural.TestNeuralNetwork) | |
Test fit method using the simulated_annealing algorithm ... ok | |
test_predict_bias (tests.test_neural.TestNeuralNetwork) | |
Test predict method with bias term ... ok | |
test_predict_no_bias (tests.test_neural.TestNeuralNetwork) | |
Test predict method with no bias term ... ok | |
test_calculate_updates (tests.test_neural.TestNeuralWeights) | |
Test calculate_updates method ... ok | |
test_evaluate_bias_regressor (tests.test_neural.TestNeuralWeights) | |
Test evaluate method for regressor with bias term ... ok | |
test_evaluate_no_bias_classifier (tests.test_neural.TestNeuralWeights) | |
Test evaluate method for binary classifier with no bias term ... ok | |
test_evaluate_no_bias_multi (tests.test_neural.TestNeuralWeights) | |
Test evaluate method for multivariate classifier with no bias ... ok | |
test_evaluate_no_bias_regressor (tests.test_neural.TestNeuralWeights) | |
Test evaluate method for regressor with no bias term ... ok | |
====================================================================== | |
FAIL: test_mimic_discrete_max_fast (tests.test_algorithms.TestAlgorithms) | |
Test mimic function for a discrete maximization problem using | |
---------------------------------------------------------------------- | |
Traceback (most recent call last): | |
File "/build/source/tests/test_algorithms.py", line 280, in test_mimic_discrete_max_fast | |
assert (np.array_equal(best_state, x) and best_fitness == 5) | |
AssertionError | |
---------------------------------------------------------------------- | |
Ran 137 tests in 47.081s | |
FAILED (failures=1) | |
Test failed: <unittest.runner.TextTestResult run=137 errors=0 failures=1> | |
error: Test failed: <unittest.runner.TextTestResult run=137 errors=0 failures=1> |
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