outlay | Expense tracker implementation | Frontend Framework library
kandi X-RAY | outlay Summary
kandi X-RAY | outlay Summary
Outlay - Expense Tracker.
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Top functions reviewed by kandi - BETA
- Setup the drawer .
- helper method to bind the reportViewHolder
- Retrieves the monthly expense for the current user .
- Initialize the view .
- Initializes the drawer .
- Saves a category .
- OnClickClick method .
- Validates input .
- Initialize the chart .
- Loads and displays a pipeline overview .
outlay Key Features
outlay Examples and Code Snippets
Community Discussions
Trending Discussions on outlay
QUESTION
I'm using tensorflow 1.15.0.
I build my own model with tf.keras
. But when I trying to save my model with Saver
:
ANSWER
Answered 2020-Dec-08 at 17:10You should use model.trainable_variables
.
QUESTION
I tried to reinstall one of my old vue projects on my new computer (on Windows 10) with npm but I came across this error :
...ANSWER
Answered 2020-Aug-09 at 21:31Just to bring to sight the answer given by Flash Thunder, the problem was my internet connection. I was using my phone to access the Internet. After connecting my computer to the closest wifi, everything is working fine
QUESTION
I have a very particular set of logic I am attempting to implement into Python which is clearly beyond my current understanding.
I will outlay the concept in steps, then post the code attempts below:
- Identify if the value within two separate columns qualifies (>= and <= 0.5) - if this is True then .append() the value of the third column (at the exact same Datetime index the test was passed) to a separate time Series object.
- ELIF: identify if the value within the first two columns qualifies (<= and >= 0.5) - if this is True then .append() the value of the fourth column (at the exact same Datetime index the test was passed) to a separate time series object (the same one from the first test).
- the final object is a separate time series object which holds values from column 3 and column 4 in chronological order from when each test was passed.
Here are the codes I have attempted thus far:
...ANSWER
Answered 2020-Aug-11 at 16:21I think the part you are seeking for is to make a for
loop over all your rows and do some calculation based on the row, so I will not go through all your detailed process and just show the basic usage.
apply()
. (doc)
The apply()
function can make you loop over along any axes.
You can easily write down your logic in a function (like switch()
in the following example).
In this function, you can access your column value by dot operator. (like row.var1
).
Here is a minimal example.
QUESTION
I have two tables:
...ANSWER
Answered 2020-May-17 at 18:34You can .filter(…)
[Django-oc] after the .annotate(…)
[Django-doc] clause:
QUESTION
ANSWER
Answered 2020-Apr-28 at 18:40This will help you
QUESTION
I have built an auto encoder in Keras, that accepts multiple inputs and the same umber of outputs that I would like to convert into a variational auto encoder. I am having trouble to combine the loss of the difference between input and output and the loss of the variational part.
What I want to achieve:The auto encoder should be used for a data set containing both numeric and categorical data. To do so I normalize the numerical columns and 1-hot-encode the categorical columns. Since the resulting categorical vectors and the numerical vectors require different loss functions (mean-sqaured-error for the numerical, and categorical cross-entropy for the categorical columns) and the very large 1-hot encoding vectors would dominate the loss as compared to the small numerical columns, I have decided to put each column as its own input vector. Thus my auto encoder accepts a set of input vectors generates output vectors of the same number and shapes.
What I have done so far:This is a setup for two numeric inputs and two categorical ones with 20 and 30 wide 1-hot encoding:
...ANSWER
Answered 2019-Sep-30 at 18:59I think it will be simpler to add aKL divergence layer in the network that takes care of the VAE loss. You can do it like this, (where beta is the weight of the vae loss):
QUESTION
I am trying to train a cnn-lstm model, my sample image sizes are 640x640.
I have a GTX 1080 ti 11GB.
I am using Keras with tensorflow backend.
Here is the model.
...ANSWER
Answered 2019-Sep-27 at 01:31Your Dense
layer is probably blowing up the training. To give some context, let's assume you are using the 640x640x3
image size. And let's forget about the LSTM
layer as well and pretend this is a non time-series task (and of course, being a time-series problem complexity becomes worse).
Here are the output sizes.
Conv1
->640x640x96
Maxpool1
->210x210x96
(appx)Conv2
->210x210x128
Now comes the bottleneck. You are then flatten()
-ing the output and sending it to a Dense
layer. This dense layer has 210x210x128x4096
parameters (which is 23,121,100,800
). Assuming 32-bit
precision, your dense layer will take around ~86GB (I hope my calculations are correct, but I guarantee you that is not a small number).
So you got few options.
- First and most obvious, reduce your
Dense
layer size. - Reduce the size of the minibatches
- Reduce the channel depth of the
Conv
layers. - And you might want to think if you really want the input to be
640x640x3
. Depending on what you're trying to achieve, you might be able to do that with a smaller image.
QUESTION
I have below dataframe, want to separate date and text from the field "Indicator_NameB" and I have written function "String_Year_Pick_V2"
Data:
...ANSWER
Answered 2019-Sep-12 at 08:57String_Year_Pick_V2 - Function has multiple return statements, I suppose to return series values and some code returns "String", "Year" as variables, this caused the error.
QUESTION
The navigation buttons on a GitHub hosted website don't take me to the page, and I am unsure how to fix it.
I am very new to GitHub, but am looking to make a webpage for the lab I work in. I found an existing lab webpage (https://github.com/KordingLab/KordingLab.github.io) that allows you to make forks and edit it for your own purposes, which was a great base. I've since changed the repository name but now when I load the page, the navigation buttons don't go to the pages automatically. My website name is myusername.github.io/repository
, while when I click the "people" page navigation button, it tries to go to myusername.github.io/people
which doesn't exist.
I can manually type in myusername.github.io/repository/people
, and the page will come out. Obviously along the way of changing in my teams name while editing, I have messed this up a bit.
The outlay of the original website is kordinglab.com/people
, which doesn't include the repository name which is why I think it won't navigate to include the repository. I've had a look through the code, but as I am a bit inexperienced, I can't find how to change it, or where it is controlled.
How can I fix it so the nav buttons actually go to the pages?
https://github.com/KordingLab/KordingLab.github.io provides all the code used in the original and working version. I would be more specific if I knew which file I was looking for, sorry.
...ANSWER
Answered 2019-Apr-14 at 16:47Normally we require code to be included in your question. Having to go off-site to read code significantly limits how helpful questions can be to future readers.
However, in this case I think we can give a helpful answer without leaning too hard on that code. It's really an answer about how to find what you're looking for.
In this case, you want o find something that defines a link to people
, or something like it. You can use GitHub's search to search for that value. Alternatively, you can use your text editor's search.
Either way, among your results you should see a file called _config.yml
that contains, among other things, a section that looks like this:
QUESTION
After a lot of trial and error, I have developed my first python package and got it to the point where it is uploaded to PyPI
test. I can then install it and import it in Spyder as intended. However, in order to use it, I need to call it using the package name and the module name in a format such as this:
ANSWER
Answered 2018-Jul-11 at 13:15Why don't you import do_something. Try this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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No vulnerabilities reported
Install outlay
You can use outlay like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the outlay component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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