Add --dataset to main.py

src/Experiments.py

@@ -27,13 +27,16 @@ class Diterator:
 
 
 class Datasets:
-    def __init__(self):
+    def __init__(self, dataset=None):
-        try:
+        if dataset is None:
-            with open(os.path.join(Folders.data, Files.index)) as f:
+            try:
-                self.data_sets = f.read().splitlines()
+                with open(os.path.join(Folders.data, Files.index)) as f:
-        except FileNotFoundError:
+                    self.data_sets = f.read().splitlines()
-            with open(os.path.join("..", Folders.data, Files.index)) as f:
+            except FileNotFoundError:
-                self.data_sets = f.read().splitlines()
+                with open(os.path.join("..", Folders.data, Files.index)) as f:
+                    self.data_sets = f.read().splitlines()
+        else:
+            self.data_sets = [dataset]
 
     def load(self, name):
         try:

src/Results.py

@@ -622,7 +622,7 @@ class Benchmark:
                 column += 2
             row += 1
             column = 1
-            for _ in range(len(self._results)):
+            for _ in range(len(self._models)):
                 sheet.write(row, column, "Score", merge_format)
                 sheet.write(row, column + 1, "Stdev", merge_format)
                 column += 2

src/main.py

@@ -1,4 +1,5 @@
 #!/usr/bin/env python
+import os
 import argparse
 from Experiments import Experiment, Datasets
 from Results import Report
@@ -78,6 +79,14 @@ def parse_arguments():
         required=True,
         help="Stratified",
     )
+    ap.add_argument(
+        "-d",
+        "--dataset",
+        type=str,
+        required=False,
+        default=None,
+        help="Experiment with only this dataset",
+    )
     args = ap.parse_args()
     return (
         args.stratified,
@@ -90,6 +99,7 @@ def parse_arguments():
         args.paramfile,
         args.report,
         args.title,
+        args.dataset,
     )
 
 
@@ -104,12 +114,14 @@ def parse_arguments():
     paramfile,
     report,
     experiment_title,
+    dataset,
 ) = parse_arguments()
+report = report or dataset is not None
 job = Experiment(
     score_name=score,
     model_name=model,
     stratified=stratified,
-    datasets=Datasets(),
+    datasets=Datasets(dataset=dataset),
     hyperparams_dict=hyperparameters,
     hyperparams_file=paramfile,
     progress_bar=not quiet,
@@ -122,3 +134,6 @@ if report:
     result_file = job.get_output_file()
     report = Report(result_file)
     report.report()
+if dataset is not None:
+    print(f"Partial result file removed: {result_file}")
+    os.remove(result_file)