v0.2.0

0.2.0 (2022-05-17)

Features

• compile NN upon fit call (d15b12c)

Bug Fixes

• unfitted NN problem (c202e0e)

v0.1.0

0.1.0 (2022-05-03)

Features

• first GDF draft (4901214)
• first implementation of doFAIC (b0d605c)
• implement basic regression metrics (65b74b6)
• implemented random Gaussian matrix (328d707)
• inital implementation of GDF (a57a0b1)

Bug Fixes

• close #17 (4122d8d)
• random forest output shape (22dfa19)

v0.0.1

0.0.1 (2022-04-13)

Features

• add FCNN (509be57)
• added basic linear regressor (7143a2e)
• added imbalanced test case for stratified sampling (565a4fa)
• added stratification to traintestplit (98dcda4)
• added test for RF (0c428d0)
• apply inverse transform, close #5 (fa88434)
• basic pipeline steps (c0133b7)
• basic scaler implemented (fdf9665)
• basic trainteastsplit implementation (ef9225c)
• first idea of target transformer (c065297)
• implemented MinMaxScaler (1893058)
• initial commit (a59f4d9)
• really basic FCNN implementation (5d2e1cd)
• simply NN options, close #6 (bd998d5)
• start implementing models (e9f244b)
• start implementing stratified split (e172774)
• stratified split works, but still high variance (d184a01)
• use seedable prng (9107682)
• use seedable prng (c766c31)
• working on scaffold (9e5416d)

Bug Fixes

• pipeline validation (872b106)

Miscellaneous Chores

• prepare release (9d98bf5)