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github.com/NVIDIA/gbm-bench
/ functions
Functions
142 in github.com/NVIDIA/gbm-bench
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Functions
142
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Types & classes
20
↓ 10 callers
Method
fit
(self, data, args)
algorithms.py:135
↓ 9 callers
Function
_get_datapath
()
3rdparty/fast_retraining/experiments/libs/loaders.py:30
↓ 8 callers
Method
configure
(self, data, args)
algorithms.py:181
↓ 5 callers
Function
read_from_dict
(hashmap, key, def_val="-na-")
json2csv.py:67
↓ 5 callers
Function
retrieve
(url, filename=None)
datasets.py:51
↓ 4 callers
Function
get_wins
Get the number of wins of a specfic team from a set of matches.
3rdparty/fast_retraining/experiments/libs/football.py:159
↓ 3 callers
Function
evaluate_metrics
(y_true, y_pred, metrics)
metrics.py:46
↓ 3 callers
Function
get_file_count
Returns the number of files in a folder
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:35
↓ 2 callers
Function
__prepare_airline
(dataset_folder, nrows, regression=False)
datasets.py:81
↓ 2 callers
Function
_convert_to_integer
Convert series to integer, given a dictionary. Parameters: srs (pd.Series): A series. d (dict): A dictionary mapping values to int
3rdparty/fast_retraining/experiments/libs/conversion.py:20
↓ 2 callers
Function
_get_nominal_integer_dict
Convert nominal values in integers, starting at 0. Parameters: nominal_vals (pd.Series): A series. Returns: d (dict): An dicti
3rdparty/fast_retraining/experiments/libs/conversion.py:4
↓ 2 callers
Function
benchmark
(args, dataset_folder, dataset)
runme.py:104
↓ 2 callers
Function
convert_odds_to_prob
Converts bookkeeper odds to probabilities.
3rdparty/fast_retraining/experiments/libs/football.py:258
↓ 2 callers
Function
discounted_cumulative_gain
Discounted Cumulative Gain (DCG). Info: https://en.wikipedia.org/wiki/Discounted_cumulative_gain Args: y_true (list or array): True va
3rdparty/codebase/python/machine_learning/metrics.py:197
↓ 2 callers
Function
exponential_discounted_cumulative_gain
Exponential Discounted Cumulative Gain (eDCG). Info: https://en.wikipedia.org/wiki/Discounted_cumulative_gain Args: y_true (list or ar
3rdparty/codebase/python/machine_learning/metrics.py:222
↓ 2 callers
Function
featurise_images
Use DL model to featurise images
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:63
↓ 2 callers
Function
get_bookkeeper_data
Aggregates bookkeeper data for all matches and bookkeepers.
3rdparty/fast_retraining/experiments/libs/football.py:287
↓ 2 callers
Function
get_goals
Get the goals of a specfic team from a set of matches.
3rdparty/fast_retraining/experiments/libs/football.py:135
↓ 2 callers
Function
get_goals_conceided
Get the goals conceided of a specfic team from a set of matches.
3rdparty/fast_retraining/experiments/libs/football.py:147
↓ 2 callers
Function
get_last_matches
Get the last x matches of a given team.
3rdparty/fast_retraining/experiments/libs/football.py:102
↓ 2 callers
Function
load_perf_data
(json_file)
json2csv.py:39
↓ 1 callers
Function
chunks
(l, n)
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:58
↓ 1 callers
Function
classification_metrics
(y_true, y_prob, threshold=0.5)
metrics.py:53
↓ 1 callers
Function
classification_metrics_multilabel
(y_true, y_pred)
metrics.py:66
↓ 1 callers
Function
combine_perf_data
(data, datasets, algos)
json2csv.py:71
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:155
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:218
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:244
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:270
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:297
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:343
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:388
↓ 1 callers
Method
configure
(self, data, args)
algorithms.py:434
↓ 1 callers
Method
create
(name)
algorithms.py:104
↓ 1 callers
Function
generate_validation_files
Creates the validation files from the train files.
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:79
↓ 1 callers
Function
get_all_algos
(data)
json2csv.py:59
↓ 1 callers
Function
get_all_datasets
(data)
json2csv.py:55
↓ 1 callers
Function
get_fifa_stats
Aggregates fifa stats for a given match.
3rdparty/fast_retraining/experiments/libs/football.py:7
↓ 1 callers
Function
get_last_matches_against_eachother
Get the last x matches of two given teams.
3rdparty/fast_retraining/experiments/libs/football.py:114
↓ 1 callers
Function
get_match_features
Create match specific features for a given match.
3rdparty/fast_retraining/experiments/libs/football.py:171
↓ 1 callers
Function
get_metrics
(data, pred)
metrics.py:36
↓ 1 callers
Function
get_number_processors
(args)
runme.py:39
↓ 1 callers
Function
get_overall_fifa_rankings
Get overall fifa rankings from fifa data.
3rdparty/fast_retraining/experiments/libs/football.py:81
↓ 1 callers
Method
get_slices
(self, n_slices, X, y)
algorithms.py:303
↓ 1 callers
Function
labels_from
Extracts the unique labels from the labels dataframe
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:10
↓ 1 callers
Function
main
()
json2csv.py:98
↓ 1 callers
Function
main
()
runme.py:124
↓ 1 callers
Function
parse_args
()
runme.py:65
↓ 1 callers
Function
prepare_dataset
(dataset_folder, dataset, nrows)
datasets.py:74
↓ 1 callers
Function
print_sys_info
(args)
runme.py:45
↓ 1 callers
Function
read_images
Read images in batches
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:45
↓ 1 callers
Function
regression_metrics
(y_true, y_pred)
metrics.py:79
↓ 1 callers
Method
start
Start the timer.
3rdparty/fast_retraining/experiments/libs/timer.py:41
↓ 1 callers
Method
stop
Stop the timer. Calculate the interval in seconds.
3rdparty/fast_retraining/experiments/libs/timer.py:45
↓ 1 callers
Method
test
(self, data)
algorithms.py:139
↓ 1 callers
Function
to_multi_label_dict
(enriched_labels_df)
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:30
↓ 1 callers
Function
write_csv
(all_data, datasets)
json2csv.py:89
Method
__enter__
(self)
algorithms.py:93
Method
__enter__
(self)
algorithms.py:142
Method
__enter__
(self)
3rdparty/fast_retraining/experiments/libs/timer.py:34
Method
__exit__
(self, *args)
algorithms.py:97
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:146
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:177
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:207
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:240
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:266
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:292
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:338
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:376
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:417
Method
__exit__
(self, exc_type, exc_value, traceback)
algorithms.py:468
Method
__exit__
(self, *args)
3rdparty/fast_retraining/experiments/libs/timer.py:38
Method
__init__
(self)
algorithms.py:88
Method
__init__
(self)
algorithms.py:131
Method
__init__
(self, X_train, X_test, y_train, y_test, learning_task, qid_train=None, qid_test=None)
datasets.py:62
Method
__init__
(self)
3rdparty/fast_retraining/experiments/libs/timer.py:31
Function
binarize_prediction
(y, threshold=0.5)
3rdparty/fast_retraining/experiments/libs/metrics.py:30
Function
classification_metrics_binary
Returns a report with different metrics for a binary classification problem. - Accuracy: Number of correct predictions made as a ratio of all pred
3rdparty/codebase/python/machine_learning/metrics.py:6
Function
classification_metrics_binary
(y_true, y_pred)
3rdparty/fast_retraining/experiments/libs/metrics.py:6
Function
classification_metrics_binary_prob
Returns a report with different metrics for a binary classification problem. - AUC: The Area Under the Curve represents the ability to discriminat
3rdparty/codebase/python/machine_learning/metrics.py:82
Function
classification_metrics_binary_prob
(y_true, y_prob)
3rdparty/fast_retraining/experiments/libs/metrics.py:15
Function
classification_metrics_multilabel
Returns a report with different metrics for a multilabel classification problem. - Accuracy: Number of correct predictions made as a ratio of all
3rdparty/codebase/python/machine_learning/metrics.py:43
Function
classification_metrics_multilabel
(y_true, y_pred, labels)
3rdparty/fast_retraining/experiments/libs/metrics.py:21
Method
configure
(self, data, args)
algorithms.py:212
Method
configure
(self, data, args)
algorithms.py:381
Method
configure
(self, data, args)
algorithms.py:427
Method
configure
(self, data, args)
algorithms.py:473
Method
configure
(self, data, args)
algorithms.py:480
Function
convert_cols_categorical_to_numeric
Convert categorical columns to numeric and leave numeric columns as they are. You can force to convert a numerical column if it is included in
3rdparty/fast_retraining/experiments/libs/conversion.py:32
Function
convert_related_cols_categorical_to_numeric
Convert categorical columns, that are related between each other, to numeric and leave numeric columns as they are. Parameters: df
3rdparty/fast_retraining/experiments/libs/conversion.py:63
Function
create_feables
Create and aggregate features and labels for all matches.
3rdparty/fast_retraining/experiments/libs/football.py:213
Function
enrich_with_feature_encoding
(labels_df)
3rdparty/fast_retraining/experiments/libs/planet_kaggle.py:23
Method
fit
(self, data, args)
algorithms.py:163
Method
fit
(self, data, args)
algorithms.py:196
Method
fit
(self, data, args)
algorithms.py:226
Method
fit
(self, data, args)
algorithms.py:252
Method
fit
(self, data, args)
algorithms.py:278
Method
fit
(self, data, args)
algorithms.py:312
Method
fit
(self, data, args)
algorithms.py:348
Method
fit
(self, data, args)
algorithms.py:403
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