Kensuke-Mitsuzawa

SLACK_WEBHOOK: 

Kensuke-Mitsuzawa

import typing
from pathlib import Path
import pandas
from tqdm import tqdm 
import os
import numpy as np


def ddf(x: np.ndarray, sig: float):
   val = []  

Kensuke-Mitsuzawa

Using SUMO in Goolge Colab

Possible to use SUMO in Google Colab.

Procedure

1. bash install_sumo.sh
2. import your scenario data (either from google drive or upload directly)
3. edit run_sumo.sh

Kensuke-Mitsuzawa

import numpy as np
import pandas
import random
import matplotlib.pyplot as plt
import matplotlib.patches as mpatches
import matplotlib
import typing


def fix_min_max(x_tensor: np.ndarray,

Kensuke-Mitsuzawa

import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
import pandas

# 多次元配列をつくる
x_tensor = np.random.uniform(size=(3, 10, 2), low=1.0, high=20)
#
mark_value = [2.5, 5.5]

Kensuke-Mitsuzawa

Kensuke-Mitsuzawa

Kensuke-Mitsuzawa

#! /usr/bin/python
# -coding:utf-8 -*-

import numpy as np
from sklearn.decomposition import PCA
import pandas
import logging
import os, sys, codecs, json
from sklearn.cluster import KMeans
from sklearn import datasets

Kensuke-Mitsuzawa

# -*- coding: utf-8 -*-
"""
You need to fill in your API key from google below. Note that querying
supported languages is not implemented.

Language Code
-------- ----
Afrikaans 	af
Albanian 	sq
Arabic 	ar

Kensuke-Mitsuzawa

#! /usr/bin/python
# -*- coding: utf-8 -*-


import sys,codecs,subprocess,readline,re
#sys.stdout = codecs.getwriter('utf-8')(sys.stdout)

## 辞書の定義
info_dic = {"structure":"none","Ga":"none","Wo":"none","Ni":"none","He":"none","To":"none","Kara":"none","Yori":"none","De":"none","Time":"none","Predict":"none"}