Index

A

add() (dataset.Dataset static method) (trained_model.TrainedModel static method)

apply_deformation() (session.Session method)

C

cancel() (training.Training method) checkpoints() (training.Training property) Client (class in client)

client (module) config() (trained_model.TrainedModel property) convert() (dataset.Dataset method) current_results() (prediction.Prediction property)

D

Dataset (class in dataset) dataset (module) datasets() (client.Client property) delete() (client.SessionAdapter method) (dataset.Dataset method) (job.Job method) (prediction.Prediction method) (session.Session method) (trained_model.TrainedModel method) (training.Training method)

download() (prediction.Prediction method) (trained_model.TrainedModel method)

F

file() (dataset.Dataset method) file_delete() (dataset.Dataset method) files() (dataset.Dataset property)

files_add() (dataset.Dataset method) format() (dataset.Dataset method) format_delete() (dataset.Dataset method) formats() (dataset.Dataset property)

G

get() (client.SessionAdapter method)

get_jobs() (dataset.Dataset method) get_results() (prediction.Prediction method)

I

info() (dataset.Dataset property) (job.Job property) (prediction.Prediction property) (session.Session property) (trained_model.TrainedModel property) (training.Training property)

J

Job (class in job)

job (module) jobs() (client.Client property)

L

logs() (training.Training property)

M

model_id() (session.Session property)

monitor() (training.Training method)

P

patch() (client.SessionAdapter method) post() (client.SessionAdapter method) predict() (session.Session method)

Prediction (class in prediction) prediction (module) predictions() (client.Client property) put() (client.SessionAdapter method)

R

restart() (job.Job method) (prediction.Prediction method) (training.Training method)

S

sample() (dataset.Dataset method) (session.Session property) samples() (dataset.Dataset property) save() (training.Training method) schema() (dataset.Dataset property) Session (class in session) session (module) SessionAdapter (class in client) sessions() (client.Client property)

split() (dataset.Dataset property) start() (session.Session static method) start_client() (session.Session method) stop() (job.Job method) (prediction.Prediction method) (session.Session method) (training.Training method) submit() (prediction.Prediction static method) (training.Training static method)

T

timeout() (in module client) trained_model (module) trained_models() (client.Client property)

TrainedModel (class in trained_model) Training (class in training) training (module) trainings() (client.Client property)