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mlquantify 0.1.1 documentation

Install
User Guide
API

GitHub

Install
User Guide
API

GitHub

Section Navigation

mlquantify
- set_arguments
mlquantify.base
mlquantify.classification.methods
- PWKCLF
mlquantify.evaluation.measures
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
mlquantify.utils.method
- sqEuclidean
- probsymm
- topsoe
- hellinger
- get_scores
- getHist
- MoSS
- ternary_search
- compute_table
- compute_tpr
- compute_fpr
- adjust_threshold

API Reference
mlquantify.classification.methods

mlquantify.classification.methods#

Learner based on k-Nearest Neighbors (KNN) to use in the PWK method.

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NonAggregativeQuantifier

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PWKCLF