module cli.asv2csv

Short summary

module mlprodict.cli.asv2csv

Command line about exporting asv results into a dataframe.

source on GitHub

Functions

function

truncated documentation

asv2csv

Converts results produced by asv into csv.

Documentation

Command line about exporting asv results into a dataframe.

source on GitHub

mlprodict.cli.asv2csv.asv2csv(folder, outfile=None, last_one=False, baseline=None, conf=None, fLOG=<built-in function print>)

Converts results produced by asv into csv.

Parameters
  • folder – folder where the results are

  • outfile – output the results into csv

  • last_one – converts only the last report into csv

  • baseline – baseline usually 'skl', if not empty, computes ratios

  • conf – test configuration, to retrieve more metadata

  • fLOG – logging function

Converts asv results into csv

The command converts asv results into csv.

Example:

python -m mlprodict asv2csv -f <folder> -o result.csv

<<<

python -m mlprodict asv2csv--help

>>>

Command not found: 'asv2csv--help'.

Available commands:

    asv2csv            Converts results produced by :epkg:`asv` into :epkg:`csv`.
    asv_bench          Creates an :epkg:`asv` benchmark in a folder
    benchmark_replay   The command rerun a benchmark if models were stored by
    convert_validate   Converts a model stored in *pkl* file and measure the differences
    einsum_test        Investigates whether or not the decomposing einsum is faster.
    latency            Measures the latency of a model (python API).
    onnx_code          Exports an ONNX graph into a python code creating
    onnx_optim         Optimizes an ONNX model.
    onnx_stats         Computes statistics on an ONNX model.
    validate_runtime   Walks through most of :epkg:`scikit-learn` operators

The filename may contain <date>, it is then replaced by the time now.

source on GitHub