def predict(self):
self.set_conf()
input_path = "../data/exampledata/LinearRegression/LinearReg100.train"
LOCAL_FS = LocalFileSystem.DEFAULT_FS
TMP_PATH = tempfile.gettempdir()
# Set trainning data path
self.conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, inputPath)
# Set load model path
self.conf.set(AngelConf.ANGEL_LOAD_MODEL_PATH, LOCAL_FS + TMP_PATH + "/model")
# Set predict result path
self.conf.set(AngelConf.ANGEL_PREDICT_PATH, LOCAL_FS + TMP_PATH + "/predict")
# Set actionType prediction
self.conf.set(AngelConf.ANGEL_ACTION_TYPE, MLConf.ANGEL_ML_PREDICT())
runner = LinearRegRunner()
runner.predict(self.conf)
def predict(self):
self.set_conf()
input_path = "data/exampledata/LinearRegression/LinearReg100.train"
LOCAL_FS = LocalFileSystem.DEFAULT_FS
TMP_PATH = tempfile.gettempdir()
# Set trainning data path
self.conf[AngelConf.ANGEL_TRAIN_DATA_PATH] = input_path
# Set load model path
self.conf[AngelConf.ANGEL_LOAD_MODEL_PATH] = LOCAL_FS + TMP_PATH + "/model"
# Set predict result path
self.conf[AngelConf.ANGEL_PREDICT_PATH] = LOCAL_FS + TMP_PATH + "/predict"
# Set actionType prediction
self.conf[AngelConf.ANGEL_ACTION_TYPE] = MLConf.ANGEL_ML_PREDICT
runner = LinearRegRunner()
runner.predict(self.conf)
def train_on_local_cluster(self):
"""
Train model on local cluster
"""
self.set_conf()
input_path = 'data/exampledata/LinearRegression'
LOCAL_FS = LocalFileSystem.DEFAULT_FS
TMP_PATH = tempfile.gettempdir()
log_path = ".src/test/log"
model_path = 'file:///tmp/angel/model'
self.conf[AngelConf.ANGEL_TRAIN_DATA_PATH] = input_path
self.conf[AngelConf.ANGEL_SAVE_MODEL_PATH] = model_path
self.conf[AngelConf.ANGEL_LOG_PATH] = log_path
self.conf[AngelConf.ANGEL_ACTION_TYPE] = MLConf.ANGEL_ML_TRAIN
self.conf['fs.defaultFS'] = LOCAL_FS + TMP_PATH
runner = LinearRegRunner()
runner.train(self.conf)
def train_on_local_cluster(self):
"""
Train model on local cluster
"""
self.set_conf()
input_path = '../data/exampledata/LinearRegression'
LOCAL_FS = LocalFileSystem.DEFAULT_FS
TMP_PATH = tempfile.gettempdir()
log_path = ".src/test/log"
model_path = 'file:///tmp/angel/model'
self.conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, input_path)
self.conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, model_path)
self.conf.set(AngelConf.ANGEL_LOG_PATH, log_path)
self.conf.set(AngelConf.ANGEL_ACTION_TYPE, MLConf.ANGEL_ML_TRAIN)
self.conf.set("fs.defaultFS", LOCAL_FS + TMP_PATH)
runner = LinearRegRunner()
runner.train(self.conf)
def inc_train(self):
self.set_conf()
input_path = "../data/exampledata/LinearRegression/LinearReg100.train"
LOCAL_FS = LocalFileSystem.DEFAULT_FS
TMP_PATH = tempfile.gettempdir()
log_path = "./src/test/log"
# Set trainning data path
self.conf.set(AngelConf.ANGEL_TRAIN_DATA_PATH, inputPath)
# Set load model path
self.conf.set(AngelConf.ANGEL_LOAD_MODEL_PATH, LOCAL_FS + TMP_PATH + "/model")
# Set save model path
self.conf.set(AngelConf.ANGEL_SAVE_MODEL_PATH, LOCAL_FS + TMP_PATH + "/newmodel")
# Set actionType incremental train
self.conf.set(AngelConf.ANGEL_ACTION_TYPE, MLConf.ANGEL_ML_INC_TRAIN())
# Set log path
self.conf.set(AngelConf.ANGEL_LOG_PATH, logPath)
runner = LinearRegRunner()
runner.incTrain(self.conf)
def inc_train(self):
self.set_conf()
input_path = "data/exampledata/LinearRegression/LinearReg100.train"
LOCAL_FS = LocalFileSystem.DEFAULT_FS
TMP_PATH = tempfile.gettempdir()
log_path = "./src/test/log"
# Set trainning data path
self.conf[AngelConf.ANGEL_TRAIN_DATA_PATH] = inputPath
# Set load model path
self.conf[AngelConf.ANGEL_LOAD_MODEL_PATH] = LOCAL_FS + TMP_PATH + "/model"
# Set save model path
self.conf[AngelConf.ANGEL_SAVE_MODEL_PATH] = LOCAL_FS + TMP_PATH + "/newmodel"
# Set actionType incremental train
self.conf[AngelConf.ANGEL_ACTION_TYPE] = MLConf.ANGEL_ML_INC_TRAIN
# Set log path
self.conf[AngelConf.ANGEL_LOG_PATH] = logPath
runner = LinearRegRunner()
runner.incTrain(self.conf)