bam.fit#

Attributes#

`arg_parser`
`args`
`params_json_filename`
`logs`
`validation_logs`
`logs_batch`
`last_log`
`wandb_run`
`model`

Functions#

`compute_score`(→ float)
`compute_scores`(model[, compute_logs])
`make_model`(→ bam.model.Model)
`objective`(trial)
`monitor`(study, trial)

Module Contents#

bam.fit.arg_parser#

bam.fit.args#

bam.fit.params_json_filename#

bam.fit.logs#

bam.fit.validation_logs#

bam.fit.logs_batch#

bam.fit.compute_score(model: bam.model.Model, log: dict) → float#

bam.fit.compute_scores(model: bam.model.Model, compute_logs=None)#

bam.fit.make_model() → bam.model.Model#

bam.fit.objective(trial)#

bam.fit.last_log#

bam.fit.wandb_run = None#

bam.fit.monitor(study, trial)#

bam.fit.model#