Merge pull request #56 from mindsdb/staging

[hotfix] 24.5.1.1

Author: paxcema

dataprep_ml/__init__.py

@@ -1,6 +1,6 @@
 from dataprep_ml.base import StatisticalAnalysis, DataAnalysis
 
-__version__ = '24.5.1.0'
+__version__ = '24.5.1.1'
 __name__ = "dataprep_ml"
 
 

dataprep_ml/splitters.py

@@ -58,11 +58,14 @@ def splitter(
         train, dev, test = simple_split(data, pct_train, pct_dev, pct_test)
 
     # Final assertions for time series
-    if min(len(train), len(dev)) < tss.get('window', 1):
-        raise Exception(f"Dataset size is too small for the specified window size ({tss.get('window', 1)})")
+    window = tss.get('window', 1) if tss.get('window', 1) else 1
+    horizon = tss.get('horizon', 1) if tss.get('horizon', 1) else 1
 
-    if min(len(train), len(dev), len(test)) < tss.get('horizon', 1):
-        raise Exception(f"Dataset size is too small for the specified horizon size ({tss.get('horizon', 1)})")
+    if min(len(train), len(dev)) < window:
+        raise Exception(f"Dataset size is too small for the specified window size ({window})")
+
+    if min(len(train), len(dev), len(test)) < horizon:
+        raise Exception(f"Dataset size is too small for the specified horizon size ({horizon})")
 
     return {"train": train, "test": test, "dev": dev, "stratified_on": stratify_on}
 

pyproject.toml

@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "dataprep-ml"
-version = "24.5.1.0"
+version = "24.5.1.1"
 description = "Automated dataframe analysis for Machine Learning pipelines."
 authors = ["MindsDB Inc. <[email protected]>"]
 license = "GPL-3.0"