Skip to content

Instantly share code, notes, and snippets.

View tkm2261's full-sized avatar

Takami Sato tkm2261

View GitHub Profile
name: "lane line detection"
#layer {
# name: "data_lane"
# type: "LaneLineData"
# top: "data_lane"
# top: "label_lane"
# transform_param {
# mean_value: 95
# mean_value: 99
-- Feature engineering BigQuery SQL queries for the kaggle talkingdata competition by tkm2261
-- it may acheve 0.9823 on the public LB with simple GBDT.
-- destination table: takling.test2
SELECT
CASE WHEN t.click_id is null THEN -1 ELSE t.click_id END as click_id,
o.*
FROM
`talking.test_supplement` as o
LEFT OUTER JOIN
# イラク復興支援群の日報 370日分
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/040301.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/040714.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/040922.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/050226.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/050323.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/050325.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/050326.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/050327.pdf
https://www.asahicom.jp/news/esi/ichikijiatesi/iraq-nippo-list/20180416/370/050330.pdf
cimport cython
import numpy as np
cimport numpy as np
from sklearn.metrics import f1_score
@cython.boundscheck(False)
@cython.wraparound(False)
def f1_opt(np.ndarray[long, ndim=1] label, np.ndarray[double, ndim=1] preds):