laurence | a simple cache for offline javascript development | Caching library
kandi X-RAY | laurence Summary
kandi X-RAY | laurence Summary
A simple cache for offline development.
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Trending Discussions on laurence
QUESTION
I am trying to find the highest scoring fulltext query from two nodes:
...ANSWER
Answered 2021-Jun-07 at 20:28We can use the results of the first search to boost the score of the second, based on which movie node the actor node acted in.
You haven't told us what you want to do with the scores mathematically, so for this example I'll just add them.
QUESTION
Here's a piece of the dataset I'm working on :
ANSWER
Answered 2021-Apr-02 at 10:17Your entire approach is very inefficient. Just use a collections.Counter
object. Supposing you have a dataframe like:
QUESTION
I am trying to extract POS tags information from the following dataset
...ANSWER
Answered 2021-Feb-17 at 21:46Okay, I see the problem. Well, the three problems.
Problem 1.prepareData
variable names
You're not copying from the tutorial you used carefully.
This is how they define prepareData
:
QUESTION
I have a table like this:
...ANSWER
Answered 2021-Feb-10 at 12:54You want a window function:
QUESTION
I have tried a number of PHP functions like array_unique to merge the arrays I have but that does not work since these are not strings.
The starting output would be this on var_dump( $country_cities );
ANSWER
Answered 2021-Jan-03 at 13:04 $item) {
if( !array_key_exists($countryCode, $uniques) ) {
$uniques[$countryCode] = []; //Create an empty array
}
$targetArray = &$uniques[$countryCode];
if( !array_key_exists($item['post_id'], $targetArray) ) {
$targetArray[$item['post_id']] = $item; //Create an empty array
}
}
}
QUESTION
So I've been having this isue for several days now. I'm trying to pass data into my serverside script, but when I do I get this error message. Error Message
I've tried watching several videos on youtube and they all say the same thing, that you have to use google.script.run. The problem comes with the function that is called after the run. Here is a sample of the code im using.
...ANSWER
Answered 2020-Dec-22 at 00:13It works for me this way:
QUESTION
This is my first question on stackoverflow. I searched for similar questions but I didn't find an answer.
I know that the question in the title isn't clear but I hope you are going to understand what I want as output.
I have a dataframe that looks like this:
...ANSWER
Answered 2020-Nov-17 at 22:13The following solution uses dplyr
to first join all collaborators to every Name
, creating a column Name_collab
(note that this expands the data frame and could blow it up if it were large). Then, we count the distinct Name_collab
for every Name
, Year
combination and get rid of duplicates.
QUESTION
ANSWER
Answered 2020-Nov-12 at 10:06Consider this function
QUESTION
I have used an inception model with previously trained weights and added a couple dense layers to classify horses from humans using a dataset provided by TENSORFLOW IN PRACTICE tutor Laurence Moroney. I reckon the model has been trained perfectly but the prediction it makes is always a horse.
The image above clearly shows that accuracy is pretty good.
The code I used to upload images to colab in real time and make a prediction is given below:
...ANSWER
Answered 2020-Jul-26 at 15:47Main problem: Reason is that rescaling is missing. When using image data generators rescale factor is given. However, when images are uploaded manually, the code for rescaling is missing. You have to add a
x = x/255.0
.You have to use
classes<0.5
. So if probability is > 0.5 then we classify as human, not horse as you specify. You can check it withtraining_generator.class_indices
and this gives you:
Consider the following two examples (I take one example horse picture and one example human picture from the dataset to illustrate it):
Wrong results:
QUESTION
I have this data that I have been trying to achieve and wrote here on SQL Server 2017: http://sqlfiddle.com/#!18/c457bc/109
...ANSWER
Answered 2020-Jul-10 at 05:58Please look at the fiddle
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