Merge pull request #954 from timeseriesAI/tsai_v20250729

updated torch version to 2.7
fixed issue with fastcore import path

Author: oguiza

nbs/006_data.core.ipynb

@@ -15,11 +15,11 @@ status = 4
 min_python = 3.9
 audience = Developers
 language = English
-requirements = fastai>=2.7.18 pyts>=0.13.0 imbalanced-learn>=0.12.4 psutil>=6.1.0 scikit-learn>=1.5.2
-pip_requirements = torch>=1.10,<2.6
-conda_requirements = pytorch>=1.10,<2.6
+requirements = fastai>=2.8.2 pyts>=0.13.0 imbalanced-learn>=0.12.4 psutil>=6.1.0 scikit-learn>=1.5.2
+pip_requirements = torch>=1.10,<2.8
+conda_requirements = pytorch>=1.10,<2.8
 conda_user = timeseriesAI
-extra_requirements = sktime>=0.34.0 tsfresh>=0.20.3 PyWavelets>=1.7.0 nbformat>=5.10.4
+extra_requirements = sktime>=0.38.4 tsfresh>=0.21.0 PyWavelets>=1.8.0 nbformat>=5.10.4
 dev_requirements = nbdev>2 ipykernel>6 ipython<9
 console_scripts = nb2py=tsai.export:nb2py
 nbs_path = nbs
@@ -35,11 +35,11 @@ recursive = True
 clean_ids = True
 black_formatting = False
 readme_nb = index.ipynb
-allowed_metadata_keys = 
-allowed_cell_metadata_keys = 
+allowed_metadata_keys =
+allowed_cell_metadata_keys =
 jupyter_hooks = True
 clear_all = False
 put_version_in_init = True
 cell_number = True
-skip_procs = 
+skip_procs =
 

nbs/009_data.preprocessing.ipynb

@@ -325,8 +325,10 @@
                                 'tsai.data.core.ToInt.decodes': ('data.core.html#toint.decodes', 'tsai/data/core.py'),
                                 'tsai.data.core.ToInt.encodes': ('data.core.html#toint.encodes', 'tsai/data/core.py'),
                                 'tsai.data.core.ToNumpyTensor': ('data.core.html#tonumpytensor', 'tsai/data/core.py'),
+                                'tsai.data.core.ToNumpyTensor.decodes': ('data.core.html#tonumpytensor.decodes', 'tsai/data/core.py'),
                                 'tsai.data.core.ToNumpyTensor.encodes': ('data.core.html#tonumpytensor.encodes', 'tsai/data/core.py'),
                                 'tsai.data.core.ToTSTensor': ('data.core.html#totstensor', 'tsai/data/core.py'),
+                                'tsai.data.core.ToTSTensor.decodes': ('data.core.html#totstensor.decodes', 'tsai/data/core.py'),
                                 'tsai.data.core.ToTSTensor.encodes': ('data.core.html#totstensor.encodes', 'tsai/data/core.py'),
                                 'tsai.data.core.TorchDataset': ('data.core.html#torchdataset', 'tsai/data/core.py'),
                                 'tsai.data.core.TorchDataset.__getitem__': ('data.core.html#torchdataset.__getitem__', 'tsai/data/core.py'),

nbs/010_data.transforms.ipynb

@@ -11,20 +11,29 @@
 
 # %% ../../nbs/006_data.core.ipynb 3
 import warnings
-from ..imports import *
-from sklearn.model_selection import StratifiedKFold
 from types import MethodType
-from matplotlib.ticker import PercentFormatter
+
 import matplotlib.colors as mcolors
-from matplotlib import rcParams
-from fastcore.transform import Transform, DisplayedTransform, Pipeline
-from fastai.data.transforms import (RandomSplitter, ItemGetter, MultiCategorize, CategoryMap,
-Category, MultiCategory, Categorize)
-from fastai.data.core import TfmdLists, Datasets, TfmdDL, DataLoaders
-from fastai.data.load import DataLoader
 from fastai.data.block import CategoryBlock, DataBlock
-from fastai.losses import MSELossFlat, CrossEntropyLossFlat, BCEWithLogitsLossFlat
+from fastai.data.core import DataLoaders, Datasets, TfmdDL, TfmdLists
+from fastai.data.load import DataLoader
+from fastai.data.transforms import (
+    Categorize,
+    Category,
+    CategoryMap,
+    ItemGetter,
+    MultiCategorize,
+    MultiCategory,
+    RandomSplitter,
+)
+from fastai.losses import BCEWithLogitsLossFlat, CrossEntropyLossFlat, MSELossFlat
 from fastai.vision.data import get_grid
+from fasttransform import DisplayedTransform, Pipeline, Transform
+from matplotlib import rcParams
+from matplotlib.ticker import PercentFormatter
+from sklearn.model_selection import StratifiedKFold
+
+from ..imports import *
 from ..utils import *
 
 warnings.filterwarnings("ignore", category=UserWarning)
@@ -66,6 +75,7 @@ def show(self, ax=None, ctx=None, title=None, **kwargs):
 class ToNumpyTensor(Transform):
     "Transforms an object into NumpyTensor"
     def encodes(self, o): return NumpyTensor(o)
+    def decodes(self, o): return o.detach().cpu().numpy()
 
 # %% ../../nbs/006_data.core.ipynb 7
 class TSTensor(TensorBase):
@@ -117,6 +127,7 @@ def __repr__(self):
 class ToTSTensor(Transform):
     "Transforms an object into TSTensor"
     def encodes(self, o): return TSTensor(o)
+    def decodes(self, o): return o.data
 
 
 @delegates(plt.subplots)