hi-ml
v0.1.9
Working with Azure
First steps: How to run your Python code in the cloud
Connecting to Azure
Datasets
Hyperparameter Search via Hyperdrive
Using Cheap Low Priority VMs
Commandline tools
Downloading from/ uploading to Azure ML
Examples
Machine Learning
Logging metrics when training models in AzureML
Developers
Notes for developers
Contributing to this toolbox
API
health_azure Package
health_ml.utils Package
hi-ml
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Index
Edit on GitHub
Index
A
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C
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D
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E
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F
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G
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H
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I
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L
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M
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N
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S
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T
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U
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V
A
AzureMLLogger (class in health_ml.utils)
AzureRunInfo (class in health_azure)
C
create_run_configuration() (in module health_azure)
create_script_run() (in module health_azure)
D
DatasetConfig (class in health_azure)
download_checkpoints_from_run_id() (in module health_azure)
download_files_from_run_id() (in module health_azure)
download_from_datastore() (in module health_azure)
E
experiment() (health_ml.utils.AzureMLLogger method)
F
fetch_run() (in module health_azure)
G
get_most_recent_run() (in module health_azure)
get_workspace() (in module health_azure)
H
health_azure
module
health_ml.utils
module
I
is_running_in_azure_ml() (in module health_azure)
L
log_hyperparams() (health_ml.utils.AzureMLLogger method)
log_learning_rate() (in module health_ml.utils)
log_metrics() (health_ml.utils.AzureMLLogger method)
log_on_epoch() (in module health_ml.utils)
M
module
health_azure
health_ml.utils
N
name() (health_ml.utils.AzureMLLogger method)
S
set_environment_variables_for_multi_node() (in module health_azure)
split_recovery_id() (in module health_azure)
submit_run() (in module health_azure)
submit_to_azure_if_needed() (in module health_azure)
T
to_input_dataset() (health_azure.DatasetConfig method)
to_output_dataset() (health_azure.DatasetConfig method)
torch_barrier() (in module health_azure)
U
upload_to_datastore() (in module health_azure)
V
version() (health_ml.utils.AzureMLLogger method)
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v: v0.1.9
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