deer | DEEp Reinforcement learning framework | Reinforcement Learning library
kandi X-RAY | deer Summary
kandi X-RAY | deer Summary
DEEp Reinforcement learning framework
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Top functions reviewed by kandi - BETA
- Train the model
- Append an object to the array
- Reset the qHat to the target value
- Generate the encoder model
- Build DQN layer
- Process command line arguments
- Full Q model
- Calculate the reward for the given action
- True if the process is in a terminal state
- Calculates the diff of the transition model
- Create Q model
- Performs a full full model on the model
- Observation
- Force input features
- Reset the model
- Calculate the reward for a given action
- Create a random map
- Determine if the grid is valid
- Generate inputs for encoder model
- Plot the performance of a test
- Ends the training epoch
- Update the priority of a node
- Get the indices of the nodes in the tree
- Choose the best action for the given state
- Run the model
- Update node with new priority
- Choose the best action for a given state
deer Key Features
deer Examples and Code Snippets
Lines of Code : 2License : Strong Copyleft (CC BY-SA 4.0)
Copyresult = {k: img_per_class[v] for k, v in classes_dict.items()}
reversed_dict = {value: key for key, value in class_dict.items()}
new_list = [reversed_dict[x] for x in labels]
print(new_list)
['bird', 'horse', 'automobile', 'airplane', 'cat', 'bird', 'airplane', 'dog', 'automofeatures = Features({
'label': ClassLabel(names=['airplane', 'automobile', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']),
'img': Image(decode=True, id=None),
'pixel_values': Array3D(dtype="float32", shape=(3,x = df['sentence'].explode().reset_index(drop=True).explode().pipe(lambda x: x[~x.isin(stopwords)])
MAX = x.groupby(level=0).agg(len).max()
new_df = x.groupby(level=0).apply(lambda x: x.reset_index(drop=True).reindex(np.arange(MAX)).fillna# divide the batch of images into non-overlapping patches
u = nnf.unfold(x, kernel_size=16, stride=16, padding=0)
# manipulate patch number 17
u[..., 17] = my_manipulation(u[..., 17])
# fold the patches back together
f = nnf.fold(u, x.shapdict_of_series = {g['col_2'].iat[0]:
g.set_axis(g.iloc[0], axis=1).iloc[1:, :-1].rename_axis(None, axis=1)
for i, g in df.groupby('Group')}
print (dict_of_series['Animal'])
Animal Animal
1 Deer site_tree_info = ['Deer W Pre 4-3F','Deer W Post 2-1F']
>>> for name in ds_info.features['label'].names:
print(name, ds_info.features['label'].str2int(name))
airplane 0
automobile 1
bird 2
cat 3
deer 4
dog 5
frog 6
horse 7
ship 8
truck 9
no_woodland_alone = [obj for obj in first_list if not any(isinstance(x, woodland) for x in obj)]
no_woodland_alone = [obj for obj in first_list if not any(x == woodland for x in obj)]
class Animals_App:
def __init__(self, root):
...
self.animal_var = Variable() # changed from StringVar()
def display_name():
txt_box.insert(END, 'Animal : ' + ', '.join(self.animal_var.get()) + '\nCommunity Discussions
Trending Discussions on deer
QUESTION
In the data set below, I would like to know how many observations each ID has in 8 day chunks. What would be the best way to approach this?
ANSWER
Answered 2022-Mar-30 at 23:20We may create a grouping variable with ceiling_date and then get the count or summarise with n()
QUESTION
Say I have a new table like such where there is no values yet:
key uuid dog cat deer etcand i have a populated table like such where it has values that i want to correlate to the new empty table:
key uuid format status 1 uuid1 dog hairy 2 uuid1 cat fluffy 3 uuid2 dog shaved 4 uuid3 deer smoothwhat i want to do is take each "format" from table 2 and create a new column in table 1 where "status" from table 2 is the value of the new "format" column in table one. Here is what i want the table to look like assuming the above tables are what im working with:
key uuid dog cat deer etc 1 uuid1 hairy fluffy null other value 2 uuid2 shaved null null other value 3 uuid3 null null smooth other valueThe extra tricky part is in table 2, uuid1 can have more or less "format" values than say uuid2 and visa versa continuing on to like 50k uuids so i need to fill the other columns with a null or falsey value
Is this possible or am I working with too ridiculous of data to make it happen?
...ANSWER
Answered 2022-Mar-22 at 20:01Since you have created the new table this means that you already know the possible values of the column format.
In this case you can use conditional aggregation to populate the table:
QUESTION
I am using the CIFAR 10 data set and want to create a function which returns the number of images per class. I have a dictionary classes_dict which maps the class name to the value, see below:
...ANSWER
Answered 2022-Mar-11 at 14:58You can use a dict-comprehension.
QUESTION
I have a list 'labels' and a dictionary with key, value pairs 'class_dict'.
I want to loop over my labels list, and print the dictionary key (e.g. 'airplane'), if the class_dict.value() is equal to the label[i].
...ANSWER
Answered 2022-Mar-09 at 15:41You could for example swap key and value of the dict and then simply access it with the list elements:
QUESTION
When I execute vit model in google colab, I got some error.
...ANSWER
Answered 2022-Feb-23 at 10:55If the "img" column is a list of PIL images, you need to change the features of "img" from array to image, replace features with the following:
QUESTION
ANSWER
Answered 2022-Feb-17 at 18:48You can do that via the labels= argument in a scale_color_*() function by supplying a named vector. Here's an example:
QUESTION
Is there an easy way to remove certain (stop) words from sentences in a list of lists in a dataframe column and (right)-pad them if they have a length less than the maximum length?
Example:
...ANSWER
Answered 2022-Feb-10 at 15:56Try this:
QUESTION
I need to make a multi item carousel with youtube videos, I found one example and made it work for me using bootstrap 5 carousel and cards, but the animation when de carousel slides is not fluid, the problem is the cards overlaps when the carousel slide, I tried to change the values on transform: translateX(%) but the animation is not that fluid, any advice on this?
This is the carosuel code, this displays 3 cards with the videos and the tittle in the bottom, as you can see I'm using iframe to call the youTube videos
ANSWER
Answered 2022-Jan-27 at 04:13I found another carousel that makes it easier to make a youtube video carousel, I used Owl carousel for this and to used it in Angular I install ngx-owl-carousel-o pretty ease to use and works fine with the YouTube videos, the only thing I install for the YouTube videos was YouTube player for Angular, I'll leave you my code below to show you the final result
This is the video carousel HTML componet
QUESTION
I am seeking help with ggplot facetwraps to generate a figure where the bars are centered within each facet, and there are no labels on the x-axis on the facets (since they are labeled above).
How would you go about achieving this?
First, generate the data frame
...ANSWER
Answered 2022-Jan-05 at 17:49Is this what you are after?
QUESTION
I am looking for an easy, concise way to use dplyr::select without rearranging columns.
Consider this dataset:
...ANSWER
Answered 2021-Dec-22 at 21:28We could use match with sort
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install deer
You can use deer like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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