s430705/precipitation-pl
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity

test poly keras

Browse Source
This commit is contained in:
ZarebaMichal 2022-05-22 13:20:08 +02:00
parent ec296f7853
commit 282084ae4c
2 changed files with 726 additions and 726 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

12
run2.py
View File

@ -10,8 +10,8 @@ df = pd.read_csv("train/in.tsv", names=in_columns, sep="\t")
df_test = pd.read_csv("dev-0/in.tsv", names=in_columns, sep="\t")
df = pd.concat([df, df_test])
df = df.drop(["nazwa_stacji", "typ_zbioru"], axis=1)
x = pd.get_dummies(df, columns=["id_stacji", "rok", "miesiąc"])
df = df.drop(["nazwa_stacji"], axis=1)
x = pd.get_dummies(df, columns=["id_stacji", "typ_zbioru", "rok", "miesiąc"])
x = x.iloc[:-600]
y = pd.read_csv("train/expected.tsv", sep="\t", names=["rainfall"])
@ -24,7 +24,7 @@ df = poly.fit_transform(x)
model = Sequential(
[
Dense(512, activation="relu", input_dim=2702),
Dense(512, activation="relu", input_dim=2927),
tensorflow.keras.layers.BatchNormalization(),
Dense(512 // 2, activation="relu"),
tensorflow.keras.layers.BatchNormalization(),
@ -41,14 +41,14 @@ model = Sequential(
model.compile(
loss="mean_squared_error", optimizer="adam", metrics=["mean_squared_error"]
)
model.fit(df, y, epochs=60)
model.fit(df, y, epochs=100)
x_test = pd.read_csv("test-A/in.tsv", sep="\t", names=in_columns)
df_train = pd.read_csv("train/in.tsv", names=in_columns, sep="\t")
x_test = pd.concat([x_test, df_train])
x_test = x_test.drop(["nazwa_stacji", "typ_zbioru"], axis=1)
x_test = pd.get_dummies(x_test, columns=["id_stacji", "rok", "miesiąc"])
x_test = x_test.drop(["nazwa_stacji"], axis=1)
x_test = pd.get_dummies(x_test, columns=["id_stacji", "typ_zbioru", "rok", "miesiąc"])
x_test = x_test.iloc[:-8760]
poly = PolynomialFeatures(2, interaction_only=True)

1440
test-A/out.tsv
View File

File diff suppressed because it is too large Load Diff