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QUESTION
When I run the code below, I see the 'pca.explained_variance_ratio_
' and a histogram, which shows the proportion of variance explained for each feature.
ANSWER
Answered 2021-May-18 at 12:14Use the inverse_transform
method:
QUESTION
ANSWER
Answered 2021-May-17 at 03:32I guess a simple linear regression
cannot capture the relationship between price
and energyrating
from the plot you gave since price
doesn't monotonically decrease or increase when energyrating
increases. I suggest you include a quadratic term of energyrating
, i.e., adding a new column of energyrating * energyrating
, or other higher-order transformations you consider reasonable.
If you are allowed to use other models other than linear regression
, I suggest you just average the price
over each energyrating
(it is discrete from your plot) bin and plot the curve, which I think would be nicer.
For example in pandas:
QUESTION
I'm intrigued on why I'm unable to arrived at the same values the model is predicting.
Consider the below model. I'm trying to understand the relations between features insurance charges, age and if a client is or not a smoker.
Notice age variable has been pre-processed (mean centered).
...ANSWER
Answered 2021-May-09 at 12:43I suppose you want to center the age variable
, this I(age - np.mean(age))
works, but when you try to predict, it will re-evaluate age again according to the mean in your prediction data frame.
Also when you multiply by the coefficients, you have to multiply it by the centered value (i.e age - mean(age)) not the raw values.
It doesn't hurt to create another column with the centered age:
QUESTION
I am not comfortable with Python - much less intimidated and at ease with R. So indulge me on a silly question that is taking me a ton of searches without success.
I want to fit in a regression model with sklearn both with OLS and lasso. In particular, I like the mtcars dataset that is so easy to call in R, and, as it turns out, also very accessible in Python:
...ANSWER
Answered 2021-May-09 at 14:46Here are two ways - unsatisfactory, especially because the variables labels seem to be gone once the regression gets going:
QUESTION
Im trying to get realtime location with pointing on the Google Map. Currently i successfully get the latitude and longitude in realtime and it will update everytime to a getter, setter class
called sosrecord.getLatitude()
and sosrecord.getLongitude()
. I want to point the google map based on the updated latitude and longitude. But everytime when i put the getter on the LatLng latLng = new LatLng(sosrecord.getLatitude(), sosrecord.getLongitude());
it will return me Null and eventually crash the app due to java.lang.NullPointerException: Attempt to invoke virtual method 'double java.lang.Double.doubleValue()' on a null object reference
It should point the current location when user click on a button. Sorry if the code sample below is messy, hope someone could help me with this issue. Thanks.
Main.java
...ANSWER
Answered 2021-May-08 at 07:35The thing is that when you open MainActiity that time onMapReady() called first automatically before LocationCallback. Eventually, it will return null latitude and Longitude.
However, your problem is that you haven't assigned your map fragment.
first of all, you need to assign in onLocationResult() below the for loop.
QUESTION
I need help adding p-values onto my figures, but I'm having three issues. 1) Whenever I use statsmodel
to calculate p-values
, I get two p-values
, one for an "intercept" and one for the y-variable (which is the one I want to plot). 2) I am using a loop to create multiple figures at once. 3) I don't know how to isolate the specific p-value
that I want to plot because when I print the p-values, it shows both of the p-values
for each figure that I am preparing. Here is my code in case you want to see what I mean about the two p-values
:
ANSWER
Answered 2021-May-04 at 05:16model.pvalues
is a pandas series (ie check with type(model.pvalues)
so if you want to extract the p-value for y
, then you simple do
QUESTION
I have an XML feed that looks like this:
...ANSWER
Answered 2021-Apr-22 at 07:18There are several problems with your code, some which I have to make assumptions on...
In
QUESTION
I have a dataset like
...ANSWER
Answered 2021-Apr-06 at 07:26You should first run the .fit()
method and save the returned object and then run the .predict()
method on that object.
QUESTION
The I() function in R is used to create new predictor in Linear Regression, such as X^2 for example:
...ANSWER
Answered 2021-Mar-23 at 04:34I found the answer, seems to be as simple as:
QUESTION
I am trying to connect Solace cloud broker with Kafka. I have a topic in Solace cloud. I want to subscribe into the Solace topic through the pub-sub-plus source connector.
Here are my Source Connector Configuration:
...ANSWER
Answered 2021-Mar-15 at 21:08Answer to question could be found here! https://solace.community/discussion/646/solace-integration-with-kafka-over-tcps-failing
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