Refactoring of report generator (#84)

* initial

* codefactor & EOF

* Update report_generator.py

* apply comments

* round ratio cell

* apply readme comments

* Update report_generator/README.md

* elastic-net->elasticnet && add iter in lasso & elasticnet && pca n_components int->float

* remove knn_regr

* Update sklearn_bench/pca.py

Co-authored-by: Ekaterina Mekhnetsova <mekkatya@gmail.com>

Author: OnlyDeniko

report_generator/README.md

@@ -2,10 +2,14 @@
 
 Report generator produces Excel table file from json benchmark log files.
 
-Run `python report_generator.py --result-files bench_log_1.json,bench_log_2.json [--report-file new_report.xlsx --generation-config gen_config.json --merging none]` to launch report generation.
+Run `python report_generator.py --result-files bench_log_1.json,bench_log_2.json [--report-file new_report.xlsx --generation-config default_report_gen_config.json]` to launch report generation.
 
 runner options:
 * ``result-files`` : comma-separated benchmark json result file paths
 * ``report-file`` : report file path
 * ``generation-config`` : generation configuration file path
-* ``merging``: *full*, *none*, *sw_only*, *hw_only*. How to merge same cases in benchmark logs
+
+config parameters:
+* ``header``: The column names in the table header. These parameters are also used to compare reports. If a name is compound, use the ``:`` symbol to separate its parts.
+* ``comparison_method``: The formula for the comparison of two results. The options are: ``1 operation 2`` or ``2 operation 1``, where ``1`` is the first result and ``2`` is the second result. The default is ``2 / 1``, which returns the ratio of the second result to the first one.
+* ``aggregation_metrics``: The metrics applied to the columns with the comparisons of two reports. You can use multiple metrics. For each of these metrics, a separate sheet with a summary is compiled. The metrics should be Excel functions. For example: ``"geomean", "average"``.

report_generator/default_report_gen_config.json

@@ -1,5 +1,5 @@
 {
-    "align": [
+    "header": [
         "algorithm",
         "stage",
         "input_data:data_order",
@@ -10,9 +10,10 @@
         "input_data:classes",
         "input_data:n_clusters"
     ],
-    "diff": [
-        "software_hash",
-        "hardware_hash",
-        "measurement_time"
+    "comparison_method": {
+        "default": "2 / 1"
+    },
+    "aggregation_metrics": [
+        "geomean"
     ]
 }