Hydrosphere CLI, orhs
, is a command-line interface designed to work with the Hydrosphere platform.
Source code: https://github.com/Hydrospheredata/hydro-serving-cli PyPI: https://pypi.org/project/hs/
Use pip to install hs
:
Check the installation:
hs cluster
This command lets you operate cluster instances. A cluster points to your Hydrosphere instance. You can use this command to work with different Hydrosphere instances.
See hs cluster --help
for more information.
hs upload
This command lets you upload models to the Hydrosphere platform. During the upload, hs
looks for a serving.yaml
file in the current directory. This file must contain a definition of the model (example).
See hs upload --help
for more information.
hs apply
This command is an extended version of the hs upload
command, which also allows you to operate applications and host selector resources.
See hs apply --help
for more information.
hs profile
This command lets you upload your training data to build profiles.
$ hs profile push
- upload training data to compute its profiles.
$ hs profile status
- show profiling status for a given model.
See hs profile --help
for more information.
hs app
This command provides information about available applications.
$ hs app list
- list all existing applications.
$ hs app rm
- remove a certain application.
See hs app --help
- for more information.
hs model
This command provides information about available models.
$ hs model list
- list all existing models.
$ hs model rm
- remove a certain model.
See hs model --help
for more information.
The Hydrosphere platform can be installed in the following orchestrator's:
To install Hydrosphere using docker-compose
, you should have the following prerequisites installed on your machine.
Download the latest 2.4.1 release from the :
Unpack the tar ball:
Set up an environment:
Clone the serving repository:
Set up an environment:
To install Hydrosphere on the Kubernetes cluster you should have the following prerequisites fulfilled.
PV support on the underlying infrastructure (if persistence is required)
Docker registry with pull/push access (if the built-in one is not used)
Add the Hydrosphere charts repository:
Install the chart from repo to the cluster:
Clone the repository:
Build dependencies:
Install the chart:
After the chart has been installed, you have to expose the ui
component outside of the cluster. For the sake of simplicity, we will just port-forward it locally.
To check the installation, open . By default, Hydrosphere UI is available at port 80.
To check the installation, open .
Python SDK offers a simple and convenient way of integrating a user's workflow scripts with Hydrosphere API.
Source code: https://github.com/Hydrospheredata/hydro-serving-sdk PyPI: https://pypi.org/project/hydrosdk/
You can learn more about it in its documentation here.
You can use pip to install hydrosdk
You can access the locally deployed Hydrosphere platform from previous steps by running the following code: