tenso | Tenso is an HTTP REST API framework | REST library
kandi X-RAY | tenso Summary
kandi X-RAY | tenso Summary
Tenso is an HTTP REST API framework, that will handle the serialization & creation of hypermedia links; all you have to do is give it Arrays or Objects.
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QUESTION
We have a client who is shipping Subscription products (which are actually Composite products with four to five Bundles of products in them) and they offer delivery on a weekly basis. Their delivery date is always Thursdays. Woocommerce Subscriptions allows for synchronization to a specific date, so we've chosen the "Align Subscription Renewal Day" option and, in a given Product, we've set it to go on Thursdays for each option ("every 4th week", "every 3rd week", etc.)
The caveat with our situation is that orders received the day before (Wednesday) or on the Thursday itself can't be fulfilled that week and need to have their start date/delivery date bumped to the following Thursday. To that end, we've written a function for functions.php
using the woocommerce_subscriptions_product_first_renewal_payment_time
hook:
ANSWER
Answered 2021-May-17 at 20:07There is a function exposed by the WC_Subscription
object called update_dates()
which takes an array of date keys matching the values used in the Subscriptions list dashboard (and other areas).
The function signature is WC_Subscription::update_dates( $dates, $timezone )
. I believe an object must be instantiated; I don't think this method can be called statically. Subscriptions function reference here.
The documented parameters (as keys to be passed in the $dates
array) are:
start
trial_end
next_payment
last_payment
end
The array itself is required, but I don't believe each individual key needs to be populated with a value. For instance, default orders generated by the Subscriptions plugin often have no trial_end
or end
dates (unless separately configured that way).
Using an action hook such as woocommerce_checkout_subscription_created
(Subscriptions action reference) you could use the $subscription
argument, which is an instance of WC_Subscription
, and do something like:
QUESTION
I have had problems here, here and there installing TensorFlow 2 over the last year or so. So I am trying Miniconda.
I have an AMD Radeon hd 6670 and an AMD Radeon hd 6450.
I just downloaded Miniconda and made an environment and did a pip install --upgrade tensorflow
in a Miniconda prompt on Windows 8.1 and got TensorFlow 2.2.
When I try to import tensorflow I get the stack trace below.
I did download Visual Studio to get the latest redistributebles (I think).
seems like this occurs near this line: from tensorflow.python.pywrap_tensorflow_internal import *
Edit 1: I used this yaml file for python 3.6 (the other was 3.7), but it produced the same error.
Edit 2: I upgraded to Conda 4.8.3 and Python 3.7 (in the yaml file) and got the same error. This is the line in pywrap internal that shows the problem:
...ANSWER
Answered 2020-Jul-26 at 16:09I ran into a comparable problem (this is the furthest i got) reproducibly on two machines. Some of the discussed issues seems to be known for example here: 1 2 3 4. Not only to reproduce 2, it makes sense to also start using virtual environments in order to test multiple tf versions. This can be achieved like this: (link for virtualenv on windows)
QUESTION
I'm trying to build my GraphSAGE model using Keras but I get the following error:
...ANSWER
Answered 2020-Mar-30 at 04:21the exact problem/solution would depend on what version of stellargraph
you're using, but if it's not a problem for you to use the latest version (0.11.0
at time of writing), I've made some adjustments to make it work:
QUESTION
- Tensorflow will not import due to tensorflow.python.pywrap_tensorflow_internal not existing. I am recieving the following error 'ImportError: DLL load failed: The specified module could not be found.'.
- I have been attempting to follow a similar issue that was reported to the Tensorflow documentation. However, I cannot find the solution or any appropriate pointers in amongst the thread.
- I downloaded the MSVCP140.DLL file after reading on this thread. However, I have not changed my System Path to suit as I am unsure what it should b changed too (This could be the issue).
- I have tried installing Tensorflow accross numerous Python versions (3.5.2, 3.6.0, 3.7.0) and the same error continues to occur.
- I am wondering can I use Tensorflow on this machine? and if so then what are the steps that I need to follow to configure Tensorflow to the correct settings.
- Python version - 3.5.2
- Device - ThinkPad X1 Carbon, i7-8550U, 16GB, 256GB SSD
ANSWER
Answered 2020-Feb-25 at 13:56Install the Microsoft Visual C++ Redistributable for Visual Studio 2015, 2017 and 2019. This is according to TensorFlow's installation instructions.
Related to tensorflow/tensorflow#35749.
QUESTION
I'm currently attempting to train an object detection model. I'm following Gilbert Tanner's tutorial on YouTube. I am running TF version 1.9.0.
It seems as though I'm missing the necessary modules. When I run the following command:
...ANSWER
Answered 2020-Feb-08 at 15:12This code tf.compat.v1.GraphKeys.UPDATE_OPS
is not available on Tensorflow==1.9.0
, this is the same for tf.compat.v2.nn.avg_pool2d
.
To have those features update your version to 1.15 with conda install tensorflow=1.15
. That will match the tutorial's version. As obtained from it's repository it uses tensorflow-gpu==1.15.2
.
QUESTION
I wrote this code a few days ago and I had a few bugs but with some help, I was able to fix them. The Model is not learning. I tried different batch sizes, different amount of epochs, different activation functions, checked my data a few times for flaws I wasn't able to find any. It is due in a week or so for a school project. Any help will be very much valued.
Here is the code.
...ANSWER
Answered 2020-Jan-01 at 14:43You're using activation functions and metrics made for a classification task, not a stock forecasting task (with a continuous target).
For continuous targets, your final activation layer should be linear
. Metrics should be mse
or mae
, not accuracy
.
accuracy
would only be satisfied is the dji
prediction is exactly equal to the actual price. Since dji
has at least 7 digits, it's nearly impossible.
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