MLBlocks Versions Save

A library for composing end-to-end tunable machine learning pipelines.

v0.6.1

6 months ago

Add python 3.11 to MLBlocks - Issue #143 by @sarahmish

v0.6.0

1 year ago

Support python 3.9 and 3.10 - Issue #141 by @sarahmish

v0.5.0

1 year ago

Update numpy dependency and isolate tests - Issue #139 by @sarahmish

v0.4.1

2 years ago

Update NumPy dependency - Issue #136 by @sarahmish
Support dynamic inputs and outputs - Issue #134 by @pvk-developer

v0.4.0

3 years ago

Stop pipeline fitting after the last block - Issue #131 by @sarahmish
Add memory debug and profiling - Issue #130 by @pvk-developer
Update Python support - Issue #129 by @csala
Get execution time for each block - Issue #127 by @sarahmish
Allow loading a primitive or pipeline directly from the JSON path - Issue #114 by @csala
Pipeline Diagrams - Issue #113 by @erica-chiu
Get Pipeline Inputs - Issue #112 by @erica-chiu

v0.3.4

4 years ago

Ability to return intermediate context - Issue #110 by @csala
Support for static or class methods - Issue #107 by @csala

v0.3.3

4 years ago

Improved intermediate outputs management - Issue #104 by @csala

v0.3.2

4 years ago

Allow passing fit and produce arguments as init_params - Issue #96 by @csala
Support optional fit and produce args and arg defaults - Issue #95 by @csala
Isolate primitives from their hyperparameters dictionary - Issue #94 by @csala
Add functions to explore the available primitives and pipelines - Issue #90 by @csala
Add primitive caching - Issue #22 by @csala

v0.3.1

4 years ago

Support flat hyperparameter dictionaries Issue #92 by @csala
Load pipelines by name and register them as entry_points Issue #88 by @csala
Implement partial re-fit Issue #61 by @csala
Move argument parsing to MLBlock Issue #86 by @csala
Allow getting intermediate outputs Issue #58 by @csala

v0.3.0

5 years ago

New primitives discovery system based on entry_points.
Conditional Hyperparameters filtering in MLBlock initialization.
Improved logging and exception reporting.