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License: MIT License
Open source production model management tool for data scientists
License: MIT License
On ubuntu,
ubuntu@ip-172-31-24-161:~/datmo$ datmo -v
usage:
datmo COMMAND [SUBCOMMANDS] ARGS
Datmo is a command line utility to enable tracking of data science projects.
It uses many of the tools you are already familiar with and combines them into a snapshot
which allows you to keep track of 5 components at once
1) Source Code
2) Dependency Environment
3) Large Files
4) Configurations
5) Metrics
command:
datmo: error: too few arguments
https://github.com/datmo/datmo/blob/master/datmo/cli/command/snapshot.py#L97
if arg in kwargs and kwargs[arg]:
This line will return false if the kwargs[arg] value is falsey.
https://docs.python.org/2.4/lib/truth.html
Maybe it should be kwargs[arg] != None , but can None be a valid param sometimes?
Instead of iris_sklearn.py
Use names like sdk_create_snapshot.py
,cli_datmo_init.py
add code to automatically register the environment of the snapshot.
Can blitzDB be pushed to source control? is there any binary data? Merge conflict resolution?
datmo task run "bash" --interactive
, datmo task run "python" --interactive
datmo task run "python script.py"
, datmo task run "jupyter notebook" --ports 8888:8888
https://github.com/datmo/datmo/blob/master/datmo/cli/command/snapshot.py#L65
Also, this function can be helpful on other commands, so it should be moved to a utils class.
I believe this can be within each function because each function can tell if the inputs it receives is valid or not.
Create a global home property, that can be used everywhere instead of having to pass home down to all components.
Datmo installation, datmo init
, then copy paste a small snippet of code into a file like "train.py", then datmo run
and datmo snapshot
, and view results in 2 min.
One person creates a project and a snapshot (see 1) , then the project is pushed onto github. Then another user clones from github, then the other user views the snapshots, then the other user creates snapshot on their system, then the first person pulls the changes from the other user, then the first user is able to see all of the snapshots from themselves and the other user
ubuntu@ip-172-31-24-161:~/test/temp$ datmo task run --ports 8888:8888 --interactive
Running a new task
An exception occurred: 'controller.task.create.arg'
Since, the sdk gives back the results, it makes sense to have CLI to provide it in datmo task ls
create python module for easy importing. should work for the following snippet (https://github.com/datmo/example-code/blob/master/hello_world_iris_datmo.py)
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