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Define data type before saving into h5 for DataMakers
Prevents crash when data contain value 0.000"
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -5,7 +5,7 @@ | |
| * GenericDataMaker | ||
| * Adds spectra to single file for classification | ||
| * File must be in TXT format | ||
| * version: v2023.12.15.1 | ||
| * version: v2024.10.07.1 | ||
| * By: Nicola Ferralis <[email protected]> | ||
| ************************************************** | ||
| ''' | ||
|
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@@ -193,7 +193,7 @@ def saveLearningFile(M, learnFileRoot): | |
| else: | ||
| learnFile = learnFileRoot+'.h5' | ||
| with h5py.File(learnFile, 'w') as hf: | ||
| hf.create_dataset("M", data=M) | ||
| hf.create_dataset("M", data=M.astype(np.float64)) | ||
| print(" Saving new training file (hdf5) in: "+learnFile+"\n") | ||
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| #************************************ | ||
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||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
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@@ -4,7 +4,7 @@ | |
| *********************************************** | ||
| * Create Random Cross Validation Datasets | ||
| * Train + Test | ||
| * version: v2023.12.19.1 | ||
| * version: v2024.10.07.1 | ||
| * By: Nicola Ferralis <[email protected]> | ||
| *********************************************** | ||
| ''' | ||
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@@ -129,7 +129,7 @@ def writeFile(File, En, A, Cl): | |
| np.savetxt(f, newMatrix, delimiter='\t', fmt='%10.6f') | ||
| else: | ||
| with h5py.File(File, 'w') as hf: | ||
| hf.create_dataset("M", data=newMatrix) | ||
| hf.create_dataset("M", data=newMatrix.astype(np.float64)) | ||
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| #************************************ | ||
| ''' Main initialization routine ''' | ||
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -5,7 +5,7 @@ | |
| * RRuffDataMaker | ||
| * Adds spectra to single file for classification | ||
| * File must be in RRuFF | ||
| * version: v2023.12.15.1 | ||
| * version: v2024.10.07.1 | ||
| * By: Nicola Ferralis <[email protected]> | ||
| ************************************************* | ||
| ''' | ||
|
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@@ -174,7 +174,7 @@ def saveLearningFile(M, learnFileRoot): | |
| else: | ||
| learnFile = learnFileRoot+'.h5' | ||
| with h5py.File(learnFile, 'w') as hf: | ||
| hf.create_dataset("M", data=M) | ||
| hf.create_dataset("M", data=M.astype(np.float64)) | ||
| print(" Saving new training file (hdf5) in: "+learnFile+"\n") | ||
|
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||
| #************************************ | ||
|
|
||
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
|
|
@@ -5,7 +5,7 @@ | |
| * XmuDataMaker | ||
| * Adds spectra to single file for classification | ||
| * File must be in Xmu | ||
| * version: v2023.12.15.1 | ||
| * version: v2024.10.07.1 | ||
| * By: Nicola Ferralis <[email protected]> | ||
| ************************************************* | ||
| ''' | ||
|
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@@ -171,7 +171,7 @@ def saveLearningFile(M, learnFileRoot): | |
| else: | ||
| learnFile = learnFileRoot+'.h5' | ||
| with h5py.File(learnFile, 'w') as hf: | ||
| hf.create_dataset("M", data=M) | ||
| hf.create_dataset("M", data=M.astype(np.float64)) | ||
| print(" Saving new training file (hdf5) in: "+learnFile+"\n") | ||
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| #************************************ | ||
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