diff --git a/openeo_processes_dask/process_implementations/ml/curve_fitting.py b/openeo_processes_dask/process_implementations/ml/curve_fitting.py index aad967be..959fa066 100644 --- a/openeo_processes_dask/process_implementations/ml/curve_fitting.py +++ b/openeo_processes_dask/process_implementations/ml/curve_fitting.py @@ -99,6 +99,7 @@ def predict_curve( ): labels_were_datetime = False dims_before = list(parameters.dims) + initial_labels = labels try: # Try parsing as datetime first @@ -108,7 +109,6 @@ def predict_curve( if np.issubdtype(labels.dtype, np.datetime64): labels_were_datetime = True - initial_labels = labels timestep = [ ( (np.datetime64(x) - np.datetime64("1970-01-01", "s")) diff --git a/pyproject.toml b/pyproject.toml index a2ccff80..426ffefa 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "openeo-processes-dask" -version = "2023.10.2" +version = "2023.10.3" description = "Python implementations of many OpenEO processes, dask-friendly by default." authors = ["Lukas Weidenholzer ", "Sean Hoyal ", "Valentina Hutter "] maintainers = ["EODC Staff "] diff --git a/tests/test_ml.py b/tests/test_ml.py index 4248b212..db72461c 100644 --- a/tests/test_ml.py +++ b/tests/test_ml.py @@ -84,7 +84,6 @@ def fitFunction(x, parameters): assert len(result.coords["param"]) == len(parameters) labels = dimension_labels(origin_cube, origin_cube.openeo.temporal_dims[0]) - labels = [float(l) for l in labels] predictions = predict_curve( result, _process,