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mlquantify 0.1.1 documentation
Install
User Guide
API
GitHub
Install
User Guide
API
GitHub
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mlquantify
set_arguments
mlquantify.base
Quantifier
AggregativeQuantifier
NonAggregativeQuantifier
mlquantify.classification.methods
PWKCLF
mlquantify.evaluation.measures
process_inputs
absolute_error
mean_absolute_error
kullback_leibler_divergence
squared_error
mean_squared_error
normalized_absolute_error
normalized_kullback_leibler_divergence
relative_absolute_error
normalized_relative_absolute_error
mlquantify.evaluation.protocol
Protocol
APP
NPP
mlquantify.methods.aggregative
CC
EMQ
FM
GAC
GPAC
PCC
PWK
ACC
MAX
MS
MS2
PACC
T50
X_method
DyS
DySsyn
HDy
SMM
SORD
mlquantify.methods.meta
Ensemble
mlquantify.methods.non_aggregative
HDx
mlquantify.model_selection
GridSearchQ
mlquantify.utils.general
convert_columns_to_arrays
generate_artificial_indexes
generate_artificial_prevalences
get_real_prev
load_quantifier
make_prevs
normalize_prevalence
parallel
round_protocol_df
get_measure
get_method
mlquantify.utils.method
sqEuclidean
probsymm
topsoe
hellinger
get_scores
getHist
MoSS
ternary_search
compute_table
compute_tpr
compute_fpr
adjust_threshold
API Reference
mlquantify.methods.meta
mlquantify.methods.meta
#
Meta methods
#
Ensemble
Ensemble of Quantification Models.