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reproducibility

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dvc
efiop
efiop commented Oct 9, 2020

We currently support real HDFS by using pyarrow, but the problem with it is that it still requires libhdfs, which has to be installed separately and in some cases (on osx) is not at all trivial to install (brew's hadoop package doesn't provide it, for example). See iterative/dvc#4656 Also [pyarrow itself has caused us some problems](https://github.com/iterative/dvc/issues

ogvalt
ogvalt commented Apr 25, 2020

Describe the bug
I found that some names agruments in framework aren't consistent.
So for example:

class SupervisedRunner(Runner):
    """Runner for experiments with supervised model."""

    _experiment_fn: Callable = SupervisedExperiment

    def __init__(
        self,
        model: Model = None,
        device: Device = None,
        input_key: Any = "features", 
      

A comparison between some VPS providers. It uses Ansible to perform a series of automated benchmark tests over the VPS servers that you specify. It allows the reproducibility of those tests by anyone that wanted to compare these results to their own. All the tests results are available in order to provide independence and transparency.

  • Updated May 22, 2018
  • Python

Collective Knowledge framework (CK) helps to organize any software project as a database of reusable components with common automation actions and extensible meta descriptions based on FAIR principles (findability, accessibility, interoperability, and reusability). See real-world use cases from Arm, General Motors, IBM, RPi, ACM, and MLPerf:

  • Updated Sep 25, 2020
  • Python

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