Update analysis and report mysql

analysis_mysql.py

@@ -4,9 +4,10 @@ from experimentation.Sets import Datasets
 from experimentation.Utils import TextColor
 from experimentation.Database import MySQL
 
-models = ["stree", "oc1", "cart", "odte", "adaBoost", "bagging"]
+models_tree = ["stree", "oc1", "cart"]
+models_ensemble = ["odte", "adaBoost", "bagging"]
 title = "Best model results"
-lengths = (30, 9, 11, 11, 11, 11, 11, 11)
+lengths = (30, 9, 11, 11, 11)
 
 
 def parse_arguments() -> Tuple[str, str, str, bool, bool]:
@@ -15,23 +16,32 @@ def parse_arguments() -> Tuple[str, str, str, bool, bool]:
         "-e",
         "--experiment",
         type=str,
-        choices=["any", "gridsearch", "crossval"],
+        choices=["gridsearch", "crossval", "any"],
         required=False,
-        default="any",
+        default="gridsearch",
+    )
+    ap.add_argument(
+        "-m",
+        "--model",
+        type=str,
+        choices=["tree", "ensemble"],
+        required=False,
+        default="tree",
     )
     args = ap.parse_args()
-    return args.experiment
+    return (args.experiment, args.model)
 
 
-def report_header_content(title, experiment):
+def report_header_content(title, experiment, model_type):
     length = sum(lengths) + len(lengths) - 1
     output = "\n" + "*" * length + "\n"
-    num = (length - len(title) - len(experiment) - 2) // 2
+    titles_length = len(title) + len(experiment) + len(model_type) + 21
-    num2 = length - len(title) - len(experiment) - 5 - 2 * num
+    num = (length - titles_length) // 2 - 3
+    num2 = length - titles_length - 7 - 2 * num
     output += (
         "*"
         + " " * num
-        + f"{title} - {experiment}"
+        + f"{title} - Experiment: {experiment} - Models: {model_type}"
         + " " * (num + num2)
         + "*\n"
     )
@@ -44,10 +54,10 @@ def report_header_content(title, experiment):
     return output
 
 
-def report_header(title, experiment):
+def report_header(title, experiment, model_type):
     print(
         TextColor.HEADER
-        + report_header_content(title, experiment)
+        + report_header_content(title, experiment, model_type)
         + TextColor.ENDC
     )
 
@@ -85,14 +95,15 @@ def report_footer(agg):
         )
 
 
-experiment = parse_arguments()
+(experiment, model_type) = parse_arguments()
 dbh = MySQL()
 database = dbh.get_connection()
 dt = Datasets(False, False, "tanveer")
 fields = ("Dataset", "Reference")
-for model in models:
+models = models_tree if model_type == "tree" else models_ensemble
-    fields += (f"{model}",)
+for item in models:
-report_header(title, experiment)
+    fields += (f"{item}",)
+report_header(title, experiment, model_type)
 color = TextColor.LINE1
 agg = {}
 for item in [
@@ -107,7 +118,7 @@ for dataset in dt:
     find_one = False
     # Look for max accuracy for any given dataset
     line = {"dataset": color + dataset[0]}
-    record = dbh.find_best(dataset[0], "any", experiment)
+    record = dbh.find_best(dataset[0], models, experiment)
     max_accuracy = 0.0 if record is None else record[5]
     for model in models:
         record = dbh.find_best(dataset[0], model, experiment)

experimentation/Database.py

@@ -46,18 +46,21 @@ class MySQL:
 
     def find_best(self, dataset, classifier="any", experiment="any"):
         cursor = self._database.cursor(buffered=True)
-        if classifier == "any":
+        date_from = "2021-01-20"
-            command = (
+        command = (
-                f"select * from results r inner join reference e on "
+            f"select * from results r inner join reference e on "
-                f"r.dataset=e.dataset where r.dataset='{dataset}' and "
+            f"r.dataset=e.dataset where r.dataset='{dataset}'"
-                f"date>='2021-01-20'"
+        )
-            )
+        if isinstance(classifier, list):
-        else:
+            classifier_set = "("
-            command = (
+            for i, item in enumerate(classifier):
-                f"select * from results r inner join reference e on "
+                comma = "" if i == 0 else ","
-                f"r.dataset=e.dataset where r.dataset='{dataset}' and "
+                classifier_set += f"{comma}'{item}'"
-                f"classifier='{classifier}' and date>='2021-01-20'"
+            classifier_set += ")"
-            )
+            command += f" and r.classifier in {classifier_set}"
+        elif classifier != "any":
+            command += f" and r.classifier='{classifier}'"
+        command += f" and date>='{date_from}'"
         command += "" if experiment == "any" else f" and type='{experiment}'"
         command += (
             " order by r.dataset, accuracy desc, classifier desc, "
@@ -182,7 +185,8 @@ class BD(ABC):
         database = dbh.get_connection()
         command_insert = (
             "replace into results (date, time, type, accuracy, "
-            "dataset, classifier, norm, stand, parameters, accuracy_std, time_spent, time_spent_std) values (%s, %s, "
+            "dataset, classifier, norm, stand, parameters, accuracy_std, "
+            "time_spent, time_spent_std) values (%s, %s, "
             "%s, %s, %s, %s, %s, %s, %s, %s, %s, %s)"
         )
         now = datetime.now()

report_mysql.py

@@ -54,7 +54,7 @@ def report_header(exclude_params):
 
 def report_line(record, agg):
     accuracy = record[5]
-    expected = record[10]
+    expected = record[13]
     if accuracy < expected:
         agg["worse"] += 1
         sign = "-"
@@ -84,7 +84,7 @@ def report_footer(agg):
         TextColor.MAGENTA + f"we have equal  results {agg['equal']:2d} times"
     )
     color = TextColor.LINE1
-    for item in ["stree", "bagging", "adaBoost", "odte"]:
+    for item in models:
         print(color + f"{item:10s} used {agg[item]:2d} times")
         color = (
             TextColor.LINE2 if color == TextColor.LINE1 else TextColor.LINE1