Datasets:
celinelee
/
python_fn_calls

Dataset card Data Studio Files
xet
 Community
1
code
stringlengths
3
6.57k
Adam(lr=0.0001, decay=0.0)
model.compile(loss='binary_crossentropy', optimizer=optimizer, metrics=['accuracy'])
get_scaled_imgs(df_train)
np.array(df_train['is_iceberg'])
df_train.inc_angle.replace('na',0)
np.where(df_train.inc_angle>0)
get_more_images(Xtrain)
np.concatenate((Ytrain,Ytrain,Ytrain)
train_test_split(Xtrain, Ytrain, test_size=0.1)
get_more_images(X_train)
np.concatenate([y_train, y_train, y_train])
get_more_images(X_valid)
np.concatenate([y_valid, y_valid, y_valid])
getModel()
model.summary()
EarlyStopping(monitor='val_loss', patience=10, verbose=0, mode='min')
ModelCheckpoint(model_file, save_best_only=True, monitor='val_loss', mode='min')
ReduceLROnPlateau(monitor='val_loss', factor=0.1, patience=5, verbose=1, epsilon=1e-6, mode='min')
model.fit(Xtr_more, Ytr_more, batch_size=batch_size, epochs=50, verbose=1, callbacks=[earlyStopping, mcp_save, reduce_lr_loss], validation_split=0.25)
model.fit(Xtr_more, Ytr_more, batch_size=batch_size, epochs=60, verbose=1, callbacks=[mcp_save, reduce_lr_loss], validation_split=0.2)
model.load_weights(filepath = model_file)
model.evaluate(Xtrain, Ytrain, verbose=1)
print('Train score:', score[0])
print('Train accuracy:', score[1])
pd.read_json('./input/test.json')
df_test.inc_angle.replace('na',0)
get_scaled_imgs(df_test)
model.predict(Xtest)
pd.DataFrame({'id': df_test["id"], 'is_iceberg': pred_test.reshape((pred_test.shape[0])
print(submission.head(10)
submission.to_csv('sub-2bands-nodrop-aug.csv', index=False)
naehere_pi_an(n)
range(n)
futures.ThreadPoolExecutor(max_workers=4)
print(list(ex.map(naehere_pi_an, N)
nicovideo_login(user, password)
request.urlopen(request.Request("https://secure.nicovideo.jp/secure/login?site=niconico", headers=fake_headers, data=data.encode('utf-8')
nicovideo_download(url, output_dir='.', merge=True, info_only=False)
ssl.SSLContext(ssl.PROTOCOL_TLSv1)
request.HTTPCookieProcessor()
request.build_opener(ssl_context, cookie_handler)
request.install_opener(opener)
netrc.netrc()
authenticators('nicovideo')
input("User: ")
getpass.getpass("Password: ")
print("Logging in...")
nicovideo_login(user, password)
get_html(url)
unicodize(r1(r'<span class="videoHeaderTitle"[^>]*>([^<]+)
url.split('/')
split('?')
get_html('http://www.nicovideo.jp/api/getflv?v=%s' % vid)
parse.unquote(r1(r'url=([^&]+)
url_info(real_url)
print_info(site_info, title, type, size)
download_urls([real_url], title, ext, size, output_dir, merge = merge)
playlist_not_supported('nicovideo')
TestClassOelintVarsValueQuoted(TestBaseClass)
pytest.mark.parametrize('id', ['oelint.vars.valuequoted'])
pytest.mark.parametrize('occurrence', [2])
test_bad(self, input, id, occurrence)
self.check_for_id(self._create_args(input)
pytest.mark.parametrize('id', ['oelint.vars.valuequoted'])
pytest.mark.parametrize('occurrence', [0])
test_good(self, input, id, occurrence)
self.check_for_id(self._create_args(input)
solution(s)
print( ''.join(reversed(s)
if( s==''.join(reversed(s)
bool(True)
bool(False)
print('----------start------------')
print(solution( s )
print('------------end------------')
stringify(cobj, indent=2)
type(cobj)
issubclass(type(cobj)
getattr(cobj, cobj._fields_[0][0])
issubclass(type(cobj)
stringify(getattr(cobj, field[0])
bytearray(cobj[:])
d (0x%x)
debugwrap(func)
caller(*args, **kwargs)
hasattr(args[0], 'debug')
print(args[0].__class__.__name__, repr(func)
repr(args)
repr(kwargs)
func(*args, **kwargs)
VxlBaseException(Exception)
VxlBaseEvent(object)
__str__(self)
stringify(getattr(self.event.tagData, self.tagDataAttr)
VxlBase(object)
__init__(self, debug=False, debugapi=False)
vxlapy.vxlapy(trace=debugapi)
vxlapy.XLportHandle(vxlapy.XL_INVALID_PORTHANDLE)
vxlapy.XLaccess(0)
vxlapy.XLaccess(0)