執行出現:

DataConversionWarning: Data with input dtype int64 was converted to float64 by MinMaxScaler.
  warnings.warn(msg, _DataConversionWarning)

錯誤訊息

df轉入的資料全是整數，在轉normalize時會轉成float，

可以在轉入資料後,再轉為float

df = = pd.read_csv("test.csv")

msk = np.random.rand(len(df)) < 0.8
x_train = df[msk][features].values
y_train_label=df[msk]["letter"].values
x_test = df[~msk][features].values
y_test_label = df[~msk]["letter"].values

可在x_tran轉入的指令更改為float

msk = np.random.rand(len(df)) < 0.8
x_train = df[msk][features].values.astype(float)
y_train_label=df[msk]['letter'].values
x_test = df[~msk][features].values.astype(float)
y_test_label = df[~msk]['letter'].values