regress | REGex in Rust with EcmaScript Syntax | Regex library
kandi X-RAY | regress Summary
kandi X-RAY | regress Summary
regress is a backtracking regular expression engine implemented in Rust, which targets JavaScript regular expression syntax. See the crate documentation for more. It's fast, Unicode-aware, has few dependencies, and has a big test suite. It makes fewer guarantees than the regex crate but it enables more syntactic features, such as backreferences and lookaround assertions.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of regress
regress Key Features
regress Examples and Code Snippets
def simple_save(session, export_dir, inputs, outputs, legacy_init_op=None):
"""Convenience function to build a SavedModel suitable for serving.
In many common cases, saving models for serving will be as simple as:
simple_save(session,
def regression_signature_def(examples, predictions):
"""Creates regression signature from given examples and predictions.
This function produces signatures intended for use with the TensorFlow Serving
Regress API (tensorflow_serving/apis/predi
def _is_valid_regression_signature(signature_def):
"""Determine whether the argument is a servable 'regress' SignatureDef."""
if signature_def.method_name != signature_constants.REGRESS_METHOD_NAME:
return False
if (set(signature_def.input
Community Discussions
Trending Discussions on regress
QUESTION
How do you calculate the model accuracy in RStudio for logistic regression. The dataset is from Kaggle.
...ANSWER
Answered 2021-Jun-15 at 21:39use the package ML metrics
QUESTION
I have a small dataset based on a survey(about 80 obsv) & on which i want to perform a logistic regression using SAS.
My survey contains some variables (named X1,X2,X3) that i want to reunite as categories of a new created variable named X4.
The problem is that those variables X1-X3 already have categories (YES/NO/WITHOUT OPINION)
How can i reunite them as categories of X4 but with considering the values that they have ?
to help you understand my question :
Y(=1/0) = X1 X2 X3
X1-X3 each have 3 categories (YES/NO/WITHOUT OPINION)
What i want is :
Proc logistic data = have ; model Y = X4 and others such as age, city... but X4 can take 3 values.
The problem isn't creating X4 based on X1-X3 but how to affect X4 the values that X1-X3 each takes ?
(NB: i say X1-X3 but it's more)
I do this in SAS but even a theorical explanation would be helpful !
Thank you.
...ANSWER
Answered 2021-Jun-15 at 16:41I think that the comments are right for the most part - this probably won't help your regression.
But - to answer how to literally do this; usually what you would do is to use powers of 2 (or 3).
So, for typical "yes/no" where you don't care about the 3rd one, you'd assign things like this:
QUESTION
ANSWER
Answered 2021-Mar-18 at 15:40You need to define a different surrogate posterior. In Tensorflow's Bayesian linear regression example https://colab.research.google.com/github/tensorflow/probability/blob/master/tensorflow_probability/examples/jupyter_notebooks/Probabilistic_Layers_Regression.ipynb#scrollTo=VwzbWw3_CQ2z
you have the posterior mean field as such
QUESTION
I am trying to dynamically generate the following html table, as seen on the screenshot
I was able to manually create the table using dummy data, but my problem is that I am trying to combine multiple data sources in order to achieve this HTML table structure.
SEE STACKBLITZ for the full example.
The Data looks like this (focus on the activities field):
...ANSWER
Answered 2021-Jun-13 at 13:28Oh, if you can change your data structure please do.
QUESTION
I have a data frame that is indexed from 1 to 100000 and I want to calculate the slope for every 12 steps. Is there any rolling window for that?
I did the following, but it is not working. The 'slope'
column is created, but all of the values as NaN
.
ANSWER
Answered 2021-Jun-14 at 15:14- It's not necessary to use
.groupby
because there is only 1 record per day. - Don't use
.reset_index(0, drop=True)
because this is dropping the date index. When you drop the index from the calculation, it no longer matches the index ofdf
, so the data is added asNaN
.df['Close'].rolling(window=days_back, min_periods=days_back).apply(get_slope, raw=True)
creates apandas.Series
. When assigning apandas.Series
to apandas.DataFrame
as a new column, the indices must match.
QUESTION
I am creating a shiny app and part of its purpose is to allow the user to upload a CSV and be able to select column/variables of interest. So far, I have successfully managed to upload a file, but the reactive part to select columns does not work, that is when I click on 'incorporate external information' nothing happens. I used this answer for guidance. How can I allow the user to select the columns and then display them accordingly? The purpose of column selection is to then allow the user to perform regression analysis on selected columns.
...ANSWER
Answered 2021-Apr-25 at 11:07It may be better to process your data once, and then use it for additional purpose. Try this
QUESTION
I am creating a shiny app to allow the user to upload a CSV, select a dependent and independent variable(s) and then perform a regression analysis. So far I have been able to upload the file, and select the columns of interest based on this answer. But the app is not being able to construct the lm
model
. The purpose is to first generate and display lm
results by using the summary
and then produce some plots. How can I allow the user to perform a simple regression analysis? The sample file can be downloaded from here.
UI
...ANSWER
Answered 2021-Apr-26 at 14:58Try this
QUESTION
I have data in the following format consisting of 80 instances. I need to predict two-parameter latency and accuracy
...ANSWER
Answered 2021-Jun-14 at 13:45You have very less data, just 2 columns, 80 rows and 2 target variables. All you can do is:
- Add more data.
- Normalize your data and then feed it to the neural network.
- If neural network not giving good accuracy, try Random Forest or XGBoost.
I also want to add one thing that is your neural network architecture is wrong. Dense layer with 2 outputs and a softmax activation isn't going to give you good result here. You have to use TensorFlow's Funtional API
and make 1 input 2 output neural network architecture.
QUESTION
I am making a shiny app that allows the user to upload a CSV, then select the independent and dependent variables. Right now I am able to upload a file, select variables and run regression analysis. But, I am stuck at the step where I would pass the lm
object to autoplot
then making it interactive via autoplotly
in a new tab. How can I create interactive regression plots via using user selected variables in a shiny app?
UI
...ANSWER
Answered 2021-Apr-27 at 00:39Try this
QUESTION
I have a task to create different subsets of the same data table as following:
...ANSWER
Answered 2021-Jun-14 at 02:37You can store the output in a list -
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No vulnerabilities reported
Install regress
Rust is installed and managed by the rustup tool. Rust has a 6-week rapid release process and supports a great number of platforms, so there are many builds of Rust available at any time. Please refer rust-lang.org for more information.
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