ovo | OVO is an In-Memory Key/Value Storage | Storage library

i have an array like this:

I want to display some data from my JSON. Specifically I would like to show an innested array and i am stuck using map(). The field I would like to show as a list is analyzedInstructions like this:

How to prep (from p How to prep /p)

Steps:

1. Remove the cauliflower's tough stem and reserve for another use. Using a food processor, pulse cauliflower florets until they resemble rice or couscous. You should end up with around four cups of "cauliflower rice.

Ingredients:

• cauliflower florets
• cauliflower rice ecc

Equipment:

• food processor

And so on for steps 2,3,4....

Can you help me please? thank you

I'm using GridSearchCV to find the best hyperparameter in my SVM model. But I am a little bit confused about the scoring. This is my grid search code:

I would like to create a function to classify column "Stage" based on multiple conditions as example bellow.

1. Stage (column) = "Ovo" == Age 0 to 8 <= Temp 30 returns = "positive" if not "negative

2. Stage (column)= "Adulto" == Age <= 5 returns = "positive" if not "negative"

3. Stage(column)= "Lagarta" == Age <= 62 < Temp 27 returns = "positive" if not "negative"

I have multiple conditions for level factor of column (Stage). Please, could someone help me to create a function to make it simultaneously and create one new column with values "positive" or "negative"?

Why does the result of the prediction function not correspond to the result of the probability function? I think the prediction result should be 3.help me plz

i have object like this

I have a problem with loading my backend server. It runs in terminal, but doesn't run in browser. I don't see where is the problem, I'm new to backend programming. It also worked until I put app.post method, before that it worked with app.use and now, when I remove app.post it still won't work. I just discovered it's because I'm using body-parser, but I still don't know how to fix the problem

Here's the code:

server.js:

The parameter decision_function_shape of the sklearn.svm.SVC object seems not to be decisive at all on the output itself, but only reshaping the array of the score of each classifier. But is there any way to understand how the array is transformed in the basic implementation of the object (OvO strategy and ovr default argument for decision_function_shape ?

SVC for multiclass classification is implemented to use a One vs One strategy. So we get n-choose-2 classifiers for n class. So to recap :

After configuring Spring's Web Security my register works expected but when I try to login my login page says that my username or password is invalid a I am using in memory h2 database and I checked database values after register if I am typing in correct (username, password). When i used hardcoded values in UserDetail Service login worked like expected