v1.4.5

Changes:

• Remove compilation with -flto (#128)

v1.4.4

Changes:

• Improve parameter checks (#112, #114)
• Improve hyperrectangle CSR semantics (#117)
• Fix a sampling bug in Python fit() when shuffle=False (#122)

v1.4.3

Changes:

• Make predict function deterministic even with parallelism (#109)

v1.4.2

Changes:

• Fix a bug serialising initial population set filename (#104)
• Add tests (#105)

v1.4.1

Re-release of v1.4.0 due to migration issues.

v1.4.0

Changes:

• Make random_state parameter sklearn compatible (#97)

v1.3.1

Changes:

• Add tests.
• Fix a bug serialising initial population set filename.
• Fix a bug copying convolutional layer momentum.

v1.3.0

Changes:

• Accept 1-D flattened Python inputs in fit/score/predict (#81)
• Fix setting max trials via JSON (#83)
• Remove Python seed() and add RANDOM_STATE parameter for setting seed (#86)
• Major Python API update: sklearn compatibility (#77)
• Add Python callback support with EarlyStoppingCallback (#77)
• Add parameter to read initial population from JSON; also works in stand-alone binary now (#77)
• Add hyperparameter tuning example (#77)
• Add CheckpointCallback (#88)

v.1.2.9

Changes:

• Fix deserialization of tree-GP and DGP conditions (#74)
• Update libraries (#75)

v.1.2.8

Changes since v.1.2.7:

• Add support for pickle to Python library (#72)