weasel | Operating System installer similar to Redhat 's Anaconda

The Word ExtrAction for time SEries cLassification (WEASEL) algorithm extracts words from time series and builds features representing frequencies of each word for each time series. This algorithm is included in the pyts library. An example for visualizing the corresponding transform can be found here but I'm struggling to implement a working classifier. This code provides me with a transformed array of the training data:

Hi Im trying to use Beautiful Soup to webscrape off of a website and print facts. This is the website https://fungenerators.com/random/facts/animal/weasel. Im trying to webscrape the fact, although it always ends up printing [] Any idea whats wrong with my code??

It can connect fine whenever I try to access it via the worker node's address, but not when I try access via the ingress gateway. I get the following error:

The collection:

I am currently setting up an application with three separate buttons, each which is supposed to randomly select an element from an array specific to that button. I've successfully coded it with individual functions for each button, but I was wondering if there is a way to condense it into a single function that can apply to all three buttons.

This is my current Javascript:

I have a query regarding the extraction of VGG16/VGG19 features for my experiments.

The pre-trained VGG16 and VGG19 models have been trained on ImageNet dataset having 1000 classes (say c1,c2, ... c1000) and normally we extract the features from first and second fully connected layers designated ('FC1' and 'FC2'); these 4096 dimensional feature vectors are then used for computer vision tasks.

My question is that can we use these networks to extract features of an image that does not belong to any of the above 1000 classes ? In other words, can we use these networks to extract features of an image with label c1001 ? Remember that c1001 does not belong to the Imagenet classes on which these networks were initially trained on.

In the article available on https://www.pyimagesearch.com/2019/05/20/transfer-learning-with-keras-and-deep-learning/, I am quoting the following -

When performing feature extraction, we treat the pre-trained network as an arbitrary feature extractor, allowing the input image to propagate forward, stopping at pre-specified layer, and taking the outputs of that layer as our features

From the above text, there is no restriction to whether the image must necessarily belong to one of the Imagenet classes.

Kindly spare some time to uncover this mystery.

In the research papers, the authors simply state that they have used features extracted from VGG16/VGG19 network pre-trained on Imagenet dataset without giving any further details.

I am giving a case study for reference:

Animal with Attribute dataset (see https://cvml.ist.ac.at/AwA2/) is a very popular dataset with 50 animal classes for image recognition task. The authors have extracted ILSVRC-pretrained ResNet101 features for the above dataset images. This ResNet 101 network has been pre-trained on 1000 imagenet classes (different imagenet classes are available at https://gist.github.com/yrevar/942d3a0ac09ec9e5eb3a#file-imagenet1000_clsidx_to_labels-txt).

Also, the AWA classes are put as follows:

I've tried to write an implementation of the Weasel Program. I have compiled three versions, all exactly identical, with the names "weasel.exe", "weasel2.exe", and "weasel3.exe". "weasel.exe" produces the expected output,

Is there a way in PS 5.1 to reuse the PuTTY agent keys?

Now, the details.

To use key agents one has an Agent that holds the keys (left box), and Client Applications that delegate administration of the keys (right box). E.g., client application C1=putty can use its own agent A1=pageant, of course. Client application C2=winscp knows how to use directly A1.

Certain Clients cannot use certain Agents directly, but there are Proxy agents that bridge the gap. For instance to use A1 with C3, I need Proxy P1=ssh-pageant, see example below. This helps centralizing in a single Agent the keys for many Clients. Now I mean to use A1 for all my Clients (currently, only missing A1-C5 and A1-C6).

Is there a way in PS 5.1 to reuse the same PuTTY agent keys? (I.e., a Proxy Px to use A1 with C5)

Possibly helpful: https://superuser.com/a/1173570/245595

NOTES:

1. I did not try it, but it seems like winssh-pageant is a Proxy to link A2 with Client applications that understand A1 directly.

2. I am currently trying to use in PS the same ssh-pageant from msys2 (it is a Windows program in the end, and often times they do work), manually replacing what eval does in msys2 (so far with no luck, but I think this is fixable):

i have an assignment where i have an rdd in Spark with a record that looks like the following: