GNN | Graph neural networks | Machine Learning library

The marker size s of scatter is set in units of points. So, if your markers are too small, scale the argument you are passing to s.

Here is an example:

The specific problem is that b_AE is calculated wrong. (Also, there is a list called count_AM for which there is no label).

The more general problem, is that calculating all these values "by hand" is very prone to errors and difficult to adapt when there are changes. It helps to write things in a loop.

The magic of numpy's broadcasting and vectorization lets you initialize bottom as a single zero, and then use numpy's adding to add the counts.

To have a bit neater x-axis, you can put the individual words on separate lines. Also, plt.tight_layout() tries to make sure all text fits nicely into the plot.

No. there is no difference between these two approaches in your case with this level of information. but could they? Yes. they could. if they have some modifications in their setters or getters. later in my answer I'll show you how.

First of all, I prefer using this one:

Setting the scale in logarithm terms let you take into account more desirable values of the learning rate, usually values lower than 0.1

Imagine you want to take learning rate values between 0.1 (1e-1) and 0.001 (1e-4). Then you can set this lower and upper bound on a logarithm scale by applying a logarithm base 10 on it, log10(0.1) = -1 and log10(0.001) = -4. Andrew Ng provides a clearer explanation in this video.

In Python you can use np.random.uniform() for this

Edit: process multiple entries in the column words.

Your questions 1 and 2 are answered in the code. Actually quite simple (assuming the data format is correctly represented by what shown in the screenshot). Digest:

Q1: apply the splitting function on the column and unpack by .tolist() such that separate columns can be created. See this post also.

Q2: Use list comprehension to unpack the extra list layer and retain only non-empty edges.

Q3: Yes and no. Yes because pandas is good at organizing data with heterogeneous types. For example, lists, dict, int and float can be present at different columns. Several I/O functions, such as pd.read_csv() or pd.read_json(), are also very handy.

However, there is overhead in data access, and that is especially costly for iterating over rows (records). Therefore, the transformed data that feeds directly into your model is usually converted into numpy.array or more efficient formats. Such a format conversion task is the data scientist's sole responsibility.

I make up my own sample dataset. Irrelevant columns were ignored (as I am not obliged to and shouldn't do).

You are applying differente adapters to the same recyclerview, which means the last one that will be visible will be the last one.

You can see it here:

You'll have to parse the list of custom fields into something you can access by name. Since you're accessing multiple entries from the same list, a dictionary is the most appropriate choice.

The '$' isn't part of Python's syntax, it's a visual cue in the documentation representing the command prompt.

To answer the question from the title of this post, I'll provide some instructions first on how to load scripts into the Python console. However, for your specific case, you don't need this. Scroll down to the part about debugging in PyCharm.

There's two ways you can get your script into the console. One is to simply load it using the right version of the two lines I give right below, or you can load it as a module - even if it wasn't intended to be one.

In general, to execute a script in the Python shell on Python 2 you can do

Your code has many errors, for example you want to access an attribute of the class: self.__rectanglePos) which only makes sense when creating an object from a part of the code that is executed before creating the class: rectanglePosChanged = Signal(type(self.__rectanglePos)), so I will avoid pointing out what your errors are except those necessary for my solution.

If you want to send information as a list where you add, replace or remove items then it is better to use a model as it will notify you in view of the changes. In this case for simplicity I use a QStandardItemModel, so each part of the element as "x" and "y" will be accessed through roles.

In the case of QML, as you want to place Rectangles in any position, using ListView is not the right option since this view restricts the position, instead you must use a Repeater.

main.py