NPD | http : //www.cbsr.ia.ac.cn/users/scliao/projects/npdface/

In my winform application i want to populate my charts where the data source is a stored procedure having multiple parameters , the values for the parameter will be provided from the winform controls. But when i click the filter button only the date criteria is getting evaluated and all the others are not , kindly verify my below images and code and kindly guide me where i am wrong:

Image of my winform:

code for chart data :

I've configured access to my K8s cluster, set up all needed pods &services, created secrets with YAML files, but this simple command:

I know that you can return only unique rows using distinct operator on a specific column. I successfully use the distinct operator on a column for a query. Now, I would like the query to only return distinct results of the remaining columns. For example the query below:

I would like to write an Oracle query that gives me all pipeline rows with multiple npd values. This is best illustrated through an example. I successfully write a query that relates pipeline name to npd as shown below.

I have two large data frames with prices for the same product. They data frames have different sizes. The first data frame df1, has one price per product, the second data frame df2, has multiple prices per product. I need to get the product and price from df1 and find the correspondent range of prices (-5.0 < price from df1 < 5.0) in df2. Then extract this to a third data frame df3.

1. This is what I have:

2. This is the code I´ve trying without luck:

   ...

I am very grateful for the help provided, I'm new in python. I've tried to make a classification for pornographics images with 3 classes, i use resnet 50 for the architecture. Right now i have a problem with a poor accuracy in train, val, test predict (results is attached). Also the validation loss thats not decrease and make my training is early stopping in around 40 epochs for now.

I dont know whether my dataset is bad (i have 6267 total images with, 80:20 for train : test, and 50:50 for train:val) or there is some false or miss in my code. For now i'm looking for a solution and recently i found that freezing some certain layer or stage in resnet might help to improve my result.

(credit for pskrunner14 in github for the resnet code, i just adding some code for adjust my needed)

For the question, how can i freeze certain layer or stage in my resnet50 model below, so that layer will not trained or the weight being updated? (example: i want to freeze up to stage 4 and leave 5th stage trainable)

Thanks for the help or advice, i'm very opened to another solution.

Here is my model code:

I have to rewrite an old do file written in Stata into R. I am stuck with a reshape command, which I would appreciate some help with.

The data looks like this:

Problem:

I am looking for a way to match certain identifiers in a given line that starts with certain words. The ID consists of characters, possibly followed by digits, followed by a dash then some more digits. An ID should only be matched on lines where the starting word is one of the following: Closes, Fixes, Resolves. If a line contains more than one IDs, those will be separated by the string and. Any number of IDs can be present on a line.

Example Test String:

I want to delete a row once I've copied it to another location. There are lots of posts for this issue; I'm not sure why none of them are working in my specific situation.