System Information Operating SystemMicrosoft Windows 11 (64-bit) ModelNotebook NP5x_NP6x_NP7xPNP MotherboardNotebook NP5x_NP6x_NP7xPNP CPU Information NameIntel Core i5-12500H Topology1 Processor, 12 Cores, 16 Threads Base Frequency3.09 GHz ...
"import numpy as np\n", "\n", "#import scipy.stats as stats\n", "import scipy.stats as stats\n", "\n", "from statsmodels.formula.api import ols\n", "\n", Expand All@@ -55,7 +55,7 @@ }, { "cell_type":"code", ...
5Yy5wbNPZnJVV44CSgUpfCgWhIElHGQ3U42lsV+mvzWnL2MNQRvG3S9uZWCUzGR41ddwPtCVDKZ3yVVjAWSyPplslk079o65bEsOna3sJKSAUmFygxch6CYsIoPWnL6MjVs6x3TBz80DFpvbGiwYVl+VCza5TGQ8HKbGtPqlMlnPPpVxqD7xfKpPPJ/Y3EX5rq26ExcZ6qqLV3HmK5YUncU3vsgGPcNqk8GzVho6cOKTN5/WQfWJfEO+KEMRkSlozenL+MD5L+Wd1/...
Echarts是百度前端数据可视化团队的作品,最早的版本V1是林峰在2013年开源出来的,具备基本作图功能,底层采用的是ZRender库来实现2D渲染。从V1到V2版本,增加了一些重要的功能,这些功能就是ECharts的主要功能了,后续更新的功能,也总体上是在这些功能的基础上略微变动的,ECharts V2可以实现的简单图表类型如下:...
Echarts是百度前端数据可视化团队的作品,最早的版本V1是林峰在2013年开源出来的,具备基本作图功能,底层采用的是ZRender库来实现2D渲染。从V1到V2版本,增加了一些重要的功能,这些功能就是ECharts的主要功能了,后续更新的功能,也总体上是在这些功能的基础上略微变动的,ECharts V2可以实现的简单图表类型如下: 底层基于...
"resolved": "https://registry.npmjs.org/@ant-design/react-slick/-/react-slick-0.26.1.tgz", "integrity": "sha512-1CR3vNFxAMmMb9btF6w9yT1xlrhZr6f/K+OkqoCLfWxN7h7jC16UCr1RsGBoFUdSq8bYfTr3pe6AiiCEDsALvA==", "requires": { "classnames": "^2.2.5", "json2mq": "^0.2.0", "lo...
f;>2nXP>?QM;iR*35jdN#efN|)%EoWzd1le>`=M^3IKkFZ@Yt-Va2 z7Lya0wy0$_zC_7)h4@AG)@JRTuf6_H~zm%r%YlLa7vCT~5!;IHFi*f(GD_8|({w=V@-=Ir?HzQ4^rzaz8dPmGU0 zD_2uj7wiOM2Ms3n8d|<^6itT}5xmWsi<9rdNg`3U;N0nz(0sIJl>Dfwfy-=c_hr1o z8o3I1I=PM_-rqoE!#YNpePUPk...
+ "import time\n", + "np.set_printoptions(threshold=np.inf)\n", + "print(tf.__version__)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "text/plain": [ + "...
@@ -0,0 +1,201 @@ { "cells": [ { "cell_type":"code", "execution_count":1, "metadata": {}, "outputs": [], "source": [ "from bitpack import BPDR\n", "from sklearn import datasets\n", "import matplotlib.pyplot as plt" ...
{ "cells": [ { "cell_type":"code", "execution_count":5, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "from matplotlib import pyplot as plt" ] }, { "cell_type":"code", "execution_count":6, ...