2.0.3 (Mar 6th, 2020)

Metaflow 2.0.3 Release Notes

• Improvements
  • Parameter listing
  • Ability to specify S3 endpoint
  • Usability improvements
• Performance
  • Conda
• Bug Fixes
  • Executing on AWS Batch

The Metaflow 2.0.3 release is a minor patch release.

Improvements

Parameter listing

You can now use the current singleton (documented here) to access the names of the parameters passed into your flow. As an example:

for var in current.parameter_names:
    print("Parameter %s has value %s" % (var, getattr(self, var))

This addresses #137.

Usability improvements

A few issues were addressed to improve the usability of Metaflow. In particular, show now properly respects indentation making the description of steps and flows more readable. This addresses #92. Superfluous print messages were also suppressed when executing on AWS batch with the local metadata provider (#152).

Performance

Conda

A smaller, newer and standalone Conda installer is now used resulting in faster and more reliable Conda bootstrapping (#123).

Bug Fixes

Executing on AWS Batch

We now check for the command line --datastore-root prior to using the environment variable METAFLOW_DATASTORE_SYSROOT_S3 when determining the S3 root (#134). This release also fixes an issue where using the local Metadata provider with AWS batch resulted in incorrect directory structure in the .metaflow directory (#141).

2.0.2 (Feb 11th, 2020)

Bug Fixes

• Pin click to v7.0 or greater
• Add checks to conda-package metadata to guard against .conda packages

2.0.1 (Dec 16th, 2019)

Enhancements

• Introduce metaflow configure [import|export] for importing/exporting Metaflow configurations.
• Revamp metaflow configure aws command to address usability concerns.
• Handle keyboard interrupts for Batch jobs more gracefully for large fan-outs.

Bug Fixes

• Fix a docker registry parsing bug in AWS Batch.
• Fix various typos in Metaflow tutorials.

First Open Source Release

Hello World!

First Open Source Release.