module cli.asv2csv
#
Short summary#
module mlprodict.cli.asv2csv
Command line about exporting asv results into a dataframe.
Functions#
function |
truncated documentation |
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Documentation#
Command line about exporting asv results into a dataframe.
- 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 ratiosconf – 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_doc Runs the benchmark published into the documentation 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 dynamic_doc Generates the documentation for ONNX operators. 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. plot_onnx Plots an ONNX graph on the standard output. validate_runtime Walks through most of :epkg:`scikit-learn` operators
The filename may contain
<date>
, it is then replaced by the time now.