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mclearn 0.1.3 documentation
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Table Of Contents
1. Getting Started
2. Photometric Data
3. Data Preprocessing
4. Performance Measures
5. Active Learning
6. Visualisations
7. API Reference
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Index
A
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B
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C
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D
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E
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F
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G
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L
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M
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N
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P
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Q
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R
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T
A
active_learn() (in module mclearn.active)
active_learning_experiment() (in module mclearn.active)
B
balanced_accuracy_expected() (in module mclearn.performance)
balanced_train_test_split() (in module mclearn.preprocessing)
beta_avg_inv_cdf() (in module mclearn.performance)
beta_avg_pdf() (in module mclearn.performance)
beta_sum_cdf() (in module mclearn.performance)
beta_sum_pdf() (in module mclearn.performance)
C
clean_up_subclasses() (in module mclearn.photometry)
compute_A() (in module mclearn.heuristics)
compute_all_learning_curves() (in module mclearn.classifier)
compute_balanced_accuracy() (in module mclearn.performance)
compute_colours() (in module mclearn.photometry)
compute_F() (in module mclearn.heuristics)
compute_pool_entropy() (in module mclearn.heuristics)
compute_pool_variance() (in module mclearn.heuristics)
convolve_betas() (in module mclearn.performance)
correct_magnitudes() (in module mclearn.photometry)
csv_to_hdf() (in module mclearn.preprocessing)
D
draw_random_sample() (in module mclearn.preprocessing)
E
entropy_h() (in module mclearn.heuristics)
F
fetch_filter() (in module mclearn.photometry)
fetch_sloan_data() (in module mclearn.photometry)
fetch_spectrum() (in module mclearn.photometry)
G
get_beta_parameters() (in module mclearn.performance)
grid_search() (in module mclearn.classifier)
grid_search_logistic() (in module mclearn.classifier)
grid_search_logistic_degree() (in module mclearn.classifier)
grid_search_svm_poly() (in module mclearn.classifier)
grid_search_svm_poly_degree() (in module mclearn.classifier)
grid_search_svm_rbf() (in module mclearn.classifier)
grid_search_svm_sigmoid() (in module mclearn.classifier)
L
learning_curve() (in module mclearn.classifier)
M
margin_h() (in module mclearn.heuristics)
mclearn.active (module)
mclearn.classifier (module)
mclearn.heuristics (module)
mclearn.performance (module)
mclearn.photometry (module)
mclearn.preprocessing (module)
mclearn.viz (module)
N
naive_accuracy() (in module mclearn.performance)
normalise_01() (in module mclearn.preprocessing)
normalise_unit_var() (in module mclearn.preprocessing)
normalise_z() (in module mclearn.preprocessing)
P
plot_average_learning_curve() (in module mclearn.viz)
plot_balanced_accuracy_violin() (in module mclearn.viz)
plot_class_distribution() (in module mclearn.viz)
plot_filters_and_spectrum() (in module mclearn.viz)
plot_hex_map() (in module mclearn.viz)
plot_learning_curve() (in module mclearn.viz)
plot_recall_maps() (in module mclearn.viz)
plot_scatter_with_classes() (in module mclearn.viz)
plot_scores() (in module mclearn.viz)
plot_validation_accuracy_heatmap() (in module mclearn.viz)
pool_entropy_h() (in module mclearn.heuristics)
pool_variance_h() (in module mclearn.heuristics)
precision() (in module mclearn.performance)
predict_unlabelled_objects() (in module mclearn.classifier)
print_classification_result() (in module mclearn.classifier)
Q
qbb_kl_h() (in module mclearn.heuristics)
qbb_margin_h() (in module mclearn.heuristics)
R
random_h() (in module mclearn.heuristics)
recall() (in module mclearn.performance)
reddening_correction_sf11() (in module mclearn.photometry)
reddening_correction_sfd98() (in module mclearn.photometry)
reddening_correction_w14() (in module mclearn.photometry)
reshape_grid_socres() (in module mclearn.viz)
run_active_learning_with_heuristic() (in module mclearn.active)
T
train_classifier() (in module mclearn.classifier)
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