tslearn neighbors no attribute "VALID_METRICS" - python

I tried to import tslearn.neighors classifier with the following codes:
import tslearn
from tslearn.neighbors import KNeighborsTimeSeriesClassifier
But the error message was given as:
"AttributeError: module 'sklearn.neighbors' has no attribute 'VALID_METRICS'
"
How could I resolve this problem?
Thanks!

Related

problem with from google.api import http_pb2 as google_dot_api_dot_http__pb2

I'am trying to import pinecone but I get the following error :
AttributeError: 'NoneType' object has no attribute 'message_types_by_name'
which is related to :
from google.api import http_pb2 as google_dot_api_dot_http__pb2.
what i've try :
upgrade protobuf LR
downgrade protobuf==3.13
downgrade grpcio==1.30.0
Result of from google.protobuf.internal import api_implementation is: python
Cheers

Cant import chatterbot

When I try to import input_function from chatterbot.utils I get this error
Unresolved attribute reference 'default_session' for class 'ChatBot'
I can't find a solution. The file is blank with only the import statement
and the complete error is:
ImportError: cannot import name 'input_function' from 'chatterbot.utils' (/Users/drax/Desktop/utils.py)
Unresolved attribute reference 'default_session' for class 'ChatBot'

The chatterbot.utils is deprecated.
Change it with this:
from chatterbot.conversation import Statement
And check here

How to add a function into utils module on titanic data set?

When I run the following code. I am having an error saying AttributeError: module 'python_utils' has no attribute 'clean_data', but I know know how to fix it.
import python_utils
import pandas as pd
from sklearn import linear_model
def clean_data(data):
data["Fare"]=data["Fare"].fillna(data["Fare"].dropna().median())
data["Age"]=data["Age"].fillna(data["age"].dropna().median())
data.loc[data["Sex"]=="male", "Sex"]=0
data.loc[data["Sex"]=="female", "Sex"]=1
data["Embarked"]=data["Embarked"].fillna("S")
data.loc[data["Embarked"]=="S",Embarked]=0
data.loc[data["Embarked"]=="C",Embarked]=1
data.loc[data["Embarked"]=="Q",Embarked]=2
train=pd.read_csv('train.csv')
python_utils.clean_data(train)
target=train["Survived"].values
features=train[["Pclass","Age","Sex","SibSp","Parch"]].values
classifier=linear_model.logisticRegression()
classifier=classifier.fit(features,target)
print(classifier_.score(features,target))

Python unresolved import win32clipboard

I just tried to use the following code:
data = win32clipboard.GetClipBoardData(win32clipboard.CF_TEXT)
Error is
Error = module 'win32clipboard' has no attribute 'GetClipBoardData'
when I try to import win32clipboard it says unresolved import. Any ideas?

You've misspelled GetClipBoardData() - should have been GetClipboardData()
Importing the win32.win32clipboard solves the intellisense issues:
import win32.win32clipboard as clip
clip.OpenClipboard()
data = clip.GetClipboardData(clip.CF_TEXT)
clip.CloseClipboard()
print(data)

AttributeError for sarimax from statsmodels.tsa.statespace

I am trying to use
model_S = statespace.sarimax.SARIMAX(df['lnpd'], trend='n', order=(12,1,12), seasonal_order=(1,1,1,12))
Shows error:
AttributeError: 'module' object has no attribute 'sarimax'
I just updated statsmodels to 0.8.0 and had no problem importing statspace. Does anyone have the same problem?
Thanks.

import statsmodels.api as sm
sm.tsa.statespace.SARIMAX(..)

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