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Install
User Guide
API
Getting Started
About Us

GitHub

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mlquantify
mlquantify.adjust_counting
- CC
- PCC
- FM
- AC
- PAC
- TAC
- TX
- TMAX
- T50
- MS
- MS2
- CDE
- evaluate_thresholds
- compute_tpr
- compute_fpr
- compute_table
mlquantify.base
mlquantify.base_aggregative
mlquantify.compose
- ComposeQuantifier
mlquantify.confidence
mlquantify.likelihood
- EMQ
mlquantify.meta
mlquantify.metrics
- AE
- SE
- MAE
- MSE
- KLD
- RAE
- NAE
- NRAE
- NKLD
- NMD
- RNOD
- VSE
- CvM_L1
mlquantify.mixture
- HDy
- DyS
- SMM
- SORD
- HDx
- MMD_RKHS
mlquantify.model_selection
- GridSearchQ
- BaseProtocol
- APP
- NPP
- UPP
- PPP
mlquantify.multiclass
- define_binary
- BinaryQuantifier
mlquantify.neighbors
- KDEyCS
- KDEyHD
- KDEyML
- PWK
mlquantify.utils

API Reference
mlquantify.compose

mlquantify.compose#

Composable Methods#

ComposeQuantifier

Generic quantification method based on constrained regression using the QUnfold framework.

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CrispLearnerQMixin

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ComposeQuantifier