ml_linalg 9.0.0 supported: vector constructors corrected

gyrdym · Apr 16, 2019 · 9819127 · 9819127
1 parent b2f5700
commit 9819127
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diff --git a/CHANGELOG.md b/CHANGELOG.md
@@ -1,5 +1,8 @@
 # Changelog
 
+## 3.2.0
+- `ml_linalg` 9.0.0 supported
+
 ## 3.1.0
 - `Categorical data processing`: `encoders` parameter added to `DataFrame.fromCsv` constructor
 

diff --git a/lib/src/categorical_encoder/encoder_mixin.dart b/lib/src/categorical_encoder/encoder_mixin.dart
@@ -13,7 +13,7 @@ mixin EncoderMixin implements CategoricalDataEncoder {
     }
     _sourceToEncoded = _createSourceToEncodedMap(values.toList(
         growable: false));
-    return Matrix.rows(
+    return Matrix.fromRows(
         values.map((value) => _sourceToEncoded[value]).toList(growable: false),
         dtype: dtype);
   }

diff --git a/lib/src/data_frame/variables_extractor/variables_extractor_impl.dart b/lib/src/data_frame/variables_extractor/variables_extractor_impl.dart
@@ -120,16 +120,16 @@ class VariablesExtractorImpl implements VariablesExtractor {
     });
     return Tuple2(
         featureColumns.isNotEmpty
-            ? _filterMatrix(Matrix.columns(featureColumns, dtype: _dtype))
+            ? _filterMatrix(Matrix.fromColumns(featureColumns, dtype: _dtype))
             : null,
         labelColumns.isNotEmpty
-            ? _filterMatrix(Matrix.columns(labelColumns, dtype: _dtype))
+            ? _filterMatrix(Matrix.fromColumns(labelColumns, dtype: _dtype))
             : null
     );
   }
 
   Matrix _filterMatrix(Matrix data) {
     if (!_hasCategoricalData) return data;
-    return Matrix.rows(_rowIndices.map(data.getRow).toList(growable: true));
+    return Matrix.fromRows(_rowIndices.map(data.getRow).toList(growable: true));
   }
 }
diff --git a/pubspec.yaml b/pubspec.yaml
@@ -1,6 +1,6 @@
 name: ml_preprocessing
 description: Implementaion of popular algorithms of data preprocessing for machine learning
-version: 3.1.0
+version: 3.2.0
 author: Ilia Gyrdymov <ilgyrd@gmail.com>
 homepage: https://github.com/gyrdym/ml_preprocessing
 
@@ -9,7 +9,7 @@ environment:
 
 dependencies:
   csv: ^4.0.0
-  ml_linalg: ^7.0.0
+  ml_linalg: ^9.0.0
   tuple: ^1.0.2
   xrange: ^0.0.4