如何解决告诉pip安装到“从不”到网络,并“总是”从本地目录下载
我正在断开网络上运行。我已将车轮(.whl)和.tar.gz文件的集合下载到effects
。我要安装目录中的/mnt/dist/python
。所有依赖项也在目录中。但是,当我告诉pip安装boto3
或boto3
时,它将尝试连接到网络。
我如何告诉它从boto-2.49.0-py2.py3-none-any.whl
安装而不是进入网络?
解决方法
@Marek Piotrowski评论的内容经过稍微修改后对我有效。我只是移至存储 model = make_pipeline(PolynomialFeatures(nFeatures),LinearRegression())
model.fit(np.array(x).reshape(-1,1),y)
文件的文件夹,然后键入
import numpy as np
import plotly.express as px
import plotly.graph_objects as go
from jupyter_dash import JupyterDash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input,Output
from sklearn.preprocessing import PolynomialFeatures
from sklearn.linear_model import LinearRegression
from sklearn.pipeline import make_pipeline
from IPython.core.debugger import set_trace
# Load Data
df = px.data.tips()
# Build App
app = JupyterDash(__name__)
app.layout = html.Div([
html.H1("ScikitLearn: Polynomial features"),dcc.Graph(id='graph'),html.Label([
"Set number of features",dcc.Slider(id='PolyFeat',min=1,max=6,marks={i: '{}'.format(i) for i in range(10)},value=1,)
]),])
# Define callback to update graph
@app.callback(
Output('graph','figure'),[Input("PolyFeat","value")]
)
def update_figure(nFeatures):
global model
# data
df = px.data.tips()
x=df['total_bill']
y=df['tip']
# model
model = make_pipeline(PolynomialFeatures(nFeatures),LinearRegression())
model.fit(np.array(x).reshape(-1,y)
x_reg = x.values
y_reg = model.predict(x_reg.reshape(-1,1))
df['model']=y_reg
# figure setup and trace for observations
fig = go.Figure()
fig.add_traces(go.Scatter(x=df['total_bill'],y=df['tip'],mode='markers',name = 'observations'))
# trace for polynomial model
df=df.sort_values(by=['model'])
fig.add_traces(go.Scatter(x=df['total_bill'],y=df['model'],mode='lines',name = 'model'))
# figure layout adjustments
fig.update_layout(yaxis=dict(range=[0,12]))
fig.update_layout(xaxis=dict(range=[0,60]))
print(df['model'].tail())
return(fig)
# Run app and display result inline in the notebook
app.enable_dev_tools(dev_tools_hot_reload =True)
app.run_server(mode='inline',port = 8070,dev_tools_ui=True,#debug=True,dev_tools_hot_reload =True,threaded=True)
版权声明:本文内容由互联网用户自发贡献,该文观点与技术仅代表作者本人。本站仅提供信息存储空间服务,不拥有所有权,不承担相关法律责任。如发现本站有涉嫌侵权/违法违规的内容, 请发送邮件至 dio@foxmail.com 举报,一经查实,本站将立刻删除。