parkinson | Winning web-app for the Patient Love | State Container library
kandi X-RAY | parkinson Summary
kandi X-RAY | parkinson Summary
Winning web-app for the "Patient Love" track at Practo Sandbox Hackathon, 2017 :pill:
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Community Discussions
Trending Discussions on parkinson
QUESTION
I have made a for loop in R which sets the value of the variable mention.parkinsons
based on the value of the variables contained in the list mention.parkinsons.tags
:
ANSWER
Answered 2021-Apr-09 at 08:49dataframe$mention.parkinsons <- ifelse(dataframe$v1 + dataframe$v2 > 0, TRUE, FALSE)
QUESTION
I want to train a model with a custom generator class but model.fit() gives me this error:
...ANSWER
Answered 2021-Apr-02 at 11:00Because of this line:
QUESTION
I am attempting to implement a CNN-LSTM that classifies mel-spectrogram images representing the speech of people with Parkinson's Disease/Healthy Controls. I am trying to implement a pre-existing model (DenseNet-169) with an LSTM model, however I am running into the following error: ValueError: Input 0 of layer zero_padding2d is incompatible with the layer: expected ndim=4, found ndim=3. Full shape received: [None, 216, 1].
Can anyone advise where I'm going wrong?
ANSWER
Answered 2021-Mar-10 at 21:26I believe the input_shape is (128, 216, 1)
The issue here is that you don't have a time-axis to time distribute your CNN (DenseNet169) layer over.
In this step -
QUESTION
Created a sample table and tried filtering records having rank 1 , but its failing
Error
ORA-00933: SQL command not properly ended
00933. 00000 - "SQL command not properly ended"
*Cause:
*Action:
Error at Line: 30 Column: 3
ANSWER
Answered 2021-Feb-17 at 15:45You need to remove the as
keyword from your query. To alias a table, AS
is not allowed. AS
can be specified to give an alias to a column.
QUESTION
I want to use StackingClassifier & VotingClassifier with StratifiedKFold & cross_val_score. I am getting nan values in cross_val_score if I use StackingClassifier or VotingClassifier. If I use any other algorithm instead of StackingClassifier or VotingClassifier,cross_val_score works fine. I am using python 3.8.5 & sklearn 0.23.2.
Updating code to working example. Please use this Parkinons dataset from kaggle Parkinsons Dataset This is the dataset I have been working on and below are the exact steps I have followed.
...ANSWER
Answered 2020-Dec-02 at 13:09The estimators_list
as it is passed to StackingClassifier
or VotingClassifier
is incorrect. The documentation on sklearn for StackingClassifier says:
Base estimators which will be stacked together. Each element of the list is defined as a tuple of string (i.e. name) and an estimator instance. An estimator can be set to ‘drop’ using set_params.
So a correct list would look the following:
QUESTION
I received from my colleagues a list of thousends genes with coordinates. And it looks like this:
...ANSWER
Answered 2020-Sep-14 at 21:06One can do this fairly simply with python. I have provided commented code below.
QUESTION
Hello this function I created should be able to split each individual file in the string and return an array of different filenames for example "abc.pdf xyz.txt mzm.docx" should return ["abc.pdf","xyz.txt","mzm.docx"]. The output I received from my created function split the string 4 times at some .txt.
...ANSWER
Answered 2020-Aug-20 at 22:01You have a very strange question, but anyway, here is working example:
QUESTION
I have the following data:
...ANSWER
Answered 2020-Jul-21 at 12:53You will need to turn these strings into vectors, and pad them to equal length. I'll show you an example with just partial_x_train_actors_array
:
QUESTION
Can someone point me in the right direction to write a test in Postman in order to validate that a certain key or value from the following response is present. The response has a lot of nested objects. Specifically I want to validate the following:
- I want to validate that in the output.treatments there's a key "type" with the value "Diet" present
- and I also want to validate that in the output.treatments.details there's a key "name" with the value "SULFAMETHOXAZOLE/TRIMETHOPRIM"
Thanks!
The API response looks like this:
...ANSWER
Answered 2020-Jul-10 at 15:09Found the solution:
QUESTION
I have the following array of lists (actors per movie):
...ANSWER
Answered 2020-Jul-05 at 18:52You are receiving this error as you are trying to convert the numpy.ndarry
to Tensor.
In short, your arrays are of different length and that is not accepted while converting it to Tensor.
What you have to do is make your x
's of the same length and the y
's of the same length.
There are several ways to achieve this. Based on the code you provided you can use something like below: The below code is pseudo-code and it just to demonstrate that you need arrays of equal length.
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