ml2p
stable
Contents:
Overview
Installation
Tutorial
Reference Guide
History
ml2p
»
Index
Edit on GitHub
Index
Symbols
|
B
|
C
|
D
|
E
|
F
|
G
|
I
|
J
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
U
Symbols
--cfg <cfg>
ml2p command line option
--debug
ml2p-docker-serve command line option
--ml-folder <ml_folder>
ml2p-docker command line option
--model <model>
ml2p-docker command line option
--model-name <model_name>
ml2p-endpoint-create command line option
--model-type <model_type>
ml2p-dataset-generate command line option
ml2p-model-create command line option
ml2p-training-job-create command line option
--no-debug
ml2p-docker-serve command line option
--training-job <training_job>
ml2p-model-create command line option
--version
ml2p command line option
ml2p-docker command line option
-m
ml2p-dataset-generate command line option
ml2p-endpoint-create command line option
ml2p-model-create command line option
ml2p-training-job-create command line option
-t
ml2p-model-create command line option
B
batch_invoke() (ml2p.core.ModelPredictor method)
batch_result() (ml2p.core.ModelPredictor method)
bucket() (ml2p.core.S3URL method)
C
clean_model_folder() (ml2p.core.LocalEnv method)
D
DATASET
ml2p-dataset-create command line option
ml2p-dataset-delete command line option
ml2p-dataset-dn command line option
ml2p-dataset-generate command line option
ml2p-dataset-ls command line option
ml2p-dataset-rm command line option
ml2p-dataset-up command line option
ml2p-training-job-create command line option
DATASET (ml2p.core.SageMakerEnvType attribute)
download_dataset() (ml2p.core.LocalEnv method)
download_model() (ml2p.core.LocalEnv method)
DST
ml2p-dataset-dn command line option
ml2p-dataset-up command line option
E
ENDPOINT_NAME
ml2p-endpoint-create command line option
ml2p-endpoint-delete command line option
ml2p-endpoint-describe command line option
ml2p-endpoint-invoke command line option
ml2p-endpoint-wait command line option
F
FILENAME
ml2p-dataset-rm command line option
G
generate() (ml2p.core.ModelDatasetGenerator method)
I
invoke() (ml2p.core.ModelPredictor method)
J
JSON_DATA
ml2p-endpoint-invoke command line option
L
LOCAL (ml2p.core.SageMakerEnvType attribute)
LocalEnv (class in ml2p.core)
M
metadata() (ml2p.core.ModelPredictor method)
ml2p command line option
--cfg <cfg>
--version
ml2p-dataset-create command line option
DATASET
ml2p-dataset-delete command line option
DATASET
ml2p-dataset-dn command line option
DATASET
DST
SRC
ml2p-dataset-generate command line option
--model-type <model_type>
-m
DATASET
ml2p-dataset-ls command line option
DATASET
ml2p-dataset-rm command line option
DATASET
FILENAME
ml2p-dataset-up command line option
DATASET
DST
SRC
ml2p-docker command line option
--ml-folder <ml_folder>
--model <model>
--version
ml2p-docker-serve command line option
--debug
--no-debug
ml2p-endpoint-create command line option
--model-name <model_name>
-m
ENDPOINT_NAME
ml2p-endpoint-delete command line option
ENDPOINT_NAME
ml2p-endpoint-describe command line option
ENDPOINT_NAME
ml2p-endpoint-invoke command line option
ENDPOINT_NAME
JSON_DATA
ml2p-endpoint-wait command line option
ENDPOINT_NAME
ml2p-model-create command line option
--model-type <model_type>
--training-job <training_job>
-m
-t
MODEL_NAME
ml2p-model-delete command line option
MODEL_NAME
ml2p-model-describe command line option
MODEL_NAME
ml2p-notebook-create command line option
NOTEBOOK_NAME
ml2p-notebook-delete command line option
NOTEBOOK_NAME
ml2p-notebook-describe command line option
NOTEBOOK_NAME
ml2p-notebook-presigned-url command line option
NOTEBOOK_NAME
ml2p-notebook-start command line option
NOTEBOOK_NAME
ml2p-notebook-stop command line option
NOTEBOOK_NAME
ml2p-repo-describe command line option
REPO_NAME
ml2p-training-job-create command line option
--model-type <model_type>
-m
DATASET
TRAINING_JOB
ml2p-training-job-describe command line option
TRAINING_JOB
ml2p-training-job-wait command line option
TRAINING_JOB
ml2p.core (module)
Model (class in ml2p.core)
MODEL_NAME
ml2p-model-create command line option
ml2p-model-delete command line option
ml2p-model-describe command line option
ModelDatasetGenerator (class in ml2p.core)
ModelPredictor (class in ml2p.core)
ModelTrainer (class in ml2p.core)
N
NOTEBOOK_NAME
ml2p-notebook-create command line option
ml2p-notebook-delete command line option
ml2p-notebook-describe command line option
ml2p-notebook-presigned-url command line option
ml2p-notebook-start command line option
ml2p-notebook-stop command line option
P
path() (ml2p.core.S3URL method)
R
record_invoke() (ml2p.core.ModelPredictor method)
record_invoke_id() (ml2p.core.ModelPredictor method)
REPO_NAME
ml2p-repo-describe command line option
result() (ml2p.core.ModelPredictor method)
S
S3URL (class in ml2p.core)
SageMakerEnv (class in ml2p.core)
SageMakerEnvType (class in ml2p.core)
SERVE (ml2p.core.SageMakerEnvType attribute)
setup() (ml2p.core.ModelPredictor method)
SRC
ml2p-dataset-dn command line option
ml2p-dataset-up command line option
T
teardown() (ml2p.core.ModelPredictor method)
TRAIN (ml2p.core.SageMakerEnvType attribute)
train() (ml2p.core.ModelTrainer method)
TRAINING_JOB
ml2p-training-job-create command line option
ml2p-training-job-describe command line option
ml2p-training-job-wait command line option
U
upload_to_s3() (ml2p.core.ModelDatasetGenerator method)
url() (ml2p.core.S3URL method)
Read the Docs
v: stable
Versions
latest
stable
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds