Here are the examples of the python api numpy.savetxt taken from open source projects. By voting up you can indicate which examples are most useful and appropriate.
145 Examples
3
View Complete Implementation : ingest_flower102.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
def run(self):
"""
resize images then write manifest files to disk.
"""
self.write_label()
self.collectdata()
records = [(fname, tgt)
for fname, tgt in self.trainpairlist.items()]
np.savetxt(self.manifests['train'], records, fmt='%s,%s')
records = [(fname, tgt)
for fname, tgt in self.valpairlist.items()]
np.savetxt(self.manifests['val'], records, fmt='%s,%s')
records = [(fname, tgt)
for fname, tgt in self.testpairlist.items()]
np.savetxt(self.manifests['test'], records, fmt='%s,%s')
3
View Complete Implementation : ingest_stl10.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
def run(self):
"""
resize images then write manifest files to disk.
"""
self.write_label()
self.collectdata()
records = [(fname, tgt)
for fname, tgt in self.trainpairlist.items()]
np.savetxt(self.manifests['train'], records, fmt='%s,%s')
records = [(fname, tgt)
for fname, tgt in self.valpairlist.items()]
np.savetxt(self.manifests['val'], records, fmt='%s,%s')
3
View Complete Implementation : ingest_stl10.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
def run(self):
"""
resize images then write manifest files to disk.
"""
self.write_label()
self.collectdata()
records = [(fname, tgt)
for fname, tgt in self.trainpairlist.items()]
np.savetxt(self.manifests, records, fmt='%s,%s')
3
View Complete Implementation : ingest_cub200.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
def run(self):
"""
resize images then write manifest files to disk.
"""
self.write_label()
self.collectdata()
records = [(fname, tgt)
for fname, tgt in self.trainpairlist.items()]
np.savetxt(self.manifests['train'], records, fmt='%s,%s')
records = [(fname, tgt)
for fname, tgt in self.valpairlist.items()]
np.savetxt(self.manifests['val'], records, fmt='%s,%s')
3
View Complete Implementation : ingest_wikiart.py
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
Copyright BSD 3-Clause "New" or "Revised" License
Author : cs-chan
def run(self):
"""
resize images then write manifest files to disk.
"""
self.write_label()
self.collectdata()
records = [(fname, tgt)
for fname, tgt in self.trainpairlist.items()]
np.savetxt(self.manifests['train'], records, fmt='%s,%s')
records = [(fname, tgt)
for fname, tgt in self.valpairlist.items()]
np.savetxt(self.manifests['val'], records, fmt='%s,%s')
3
View Complete Implementation : eval_util.py
Copyright MIT License
Author : djp42
Copyright MIT License
Author : djp42
def wrap_plot(plot_type, actuals, predictions, features, satle, savepath, mean, stdev):
this_satle = satle + "_" + plot_type
if plot_type == "Confusion":
heights = makeConfusionMatrix(actuals, predictions, satle=this_satle, savepath=savepath)
np.savetxt(savepath+satle+"_Confusion-heights", heights)
elif plot_type == "DistanceH":
accuracy_cords, count_cords = makeDistanceHistogram(actuals, predictions, features,
mean, stdev, satle=this_satle, savepath=savepath)
np.savetxt(savepath+satle+"_DistanceH-accuracies", accuracy_cords)
np.savetxt(savepath+satle+"_DistanceH-counts", count_cords)
elif plot_type == "Lanetype":
accuracy_cords, count_cords, entries = makeLaneBar(actuals, predictions, features,
mean, stdev, satle=this_satle, savepath=savepath)
np.savetxt(savepath+satle+"_Lanetype-accuracies", accuracy_cords)
np.savetxt(savepath+satle+"_Lanetype-counts", count_cords)
np.savetxt(savepath+satle+"_Lanetype-entries", entries, fmt="%s")
else:
print("Plot type", plot_type, "is unsupported.")
return
3
View Complete Implementation : learn_util.py
Copyright MIT License
Author : djp42
Copyright MIT License
Author : djp42
def saveSparse(filepath, X):
if X.shape == (0,):
return
data = X.data
indices = X.indices
indptr = X.indptr
np.savetxt(filepath + '-data',data)
np.savetxt(filepath + '-indices',indices)
np.savetxt(filepath + '-indptr',indptr)
3
View Complete Implementation : nn_words.py
Copyright GNU Affero General Public License v3.0
Author : gulp21
Copyright GNU Affero General Public License v3.0
Author : gulp21
def save_weights(self, output_path):
if self.use_conv_layer:
nn.write_4dmat(output_path + "/W_conv1.txt", tf.transpose(self.W_conv1, (3, 0, 1, 2)).eval())
nn.write_4dmat(output_path + "/b_conv1.txt", self.b_conv1.eval())
else:
np.savetxt(output_path + "/W_fc1.txt", self.W_fc1.eval())
np.savetxt(output_path + "/b_fc1.txt", self.b_fc1.eval())
if self.use_hidden_layer or self.use_conv_layer:
np.savetxt(output_path + "/b_fc2.txt", self.b_fc2.eval())
np.savetxt(output_path + "/W_fc2.txt", self.W_fc2.eval())
3
View Complete Implementation : learn_util.py
Copyright MIT License
Author : djp42
Copyright MIT License
Author : djp42
def saveExampleData(filename,Xtrain,ytrain,Xtest,ytest, mean_centered, predict):
filepath_Xtrain = makeFullPath(filename, '-Xtrain'+str(mean_centered))
saveSparse(filepath_Xtrain, Xtrain)
filepath_ytrain = makeFullPath(filename, '-ytrain'+str(mean_centered))
np.savetxt(filepath_ytrain, ytrain)
filepath_Xtest = makeFullPath(filename, '-Xtest'+str(mean_centered)+predict)
saveSparse(filepath_Xtest, Xtest)
filepath_ytest = makeFullPath(filename, '-ytest'+str(mean_centered)+predict)
np.savetxt(filepath_ytest, ytest)
3
View Complete Implementation : gater_seq.py
Copyright MIT License
Author : krishnakalyan3
Copyright MIT License
Author : krishnakalyan3
@staticmethod
def save_targets(split_buckets):
sd = {}
for k, v in split_buckets.items():
for val in v:
sd[val] = k
expert_array = []
for k1 in sorted(sd):
expert_array.append(sd[k1])
np.savetxt('temp/vis_final_10' + '.csv', expert_array, delimiter=",")
return 0