firepit | Firebase CLI for Windows | Authentication library
kandi X-RAY | firepit Summary
kandi X-RAY | firepit Summary
Firebase CLI for Windows
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Checks whether the firebaseTools is on .
- Setup the firebaseTools tool .
- Creates the runtime .
- Verifies that a node is running to run
- Firebase program
- Check if firebase is running .
- Get the path to a cross platform .
- Find toolpath for binary .
- Implementation of npm
- creates a fancy spinner
firepit Key Features
firepit Examples and Code Snippets
Community Discussions
Trending Discussions on firepit
QUESTION
Having an issue gitting addEventListener
to work. I think it is something going wrong with document.querySelector
, but not sure why it's returning null.
Here's my index.html:
...ANSWER
Answered 2019-Jun-08 at 10:06Probably you include your script before the page is loaded. Move the script to the bottom of body or use DOMContentLoaded
QUESTION
I am trying to setup firebase Command line interface(CLI) in windows 10, I used the below command to install firebase tools
...ANSWER
Answered 2019-May-11 at 17:23Node and NPM have newer versions. Try updating them, it may solve the issue.
Then run
QUESTION
I am new to reinforcement learning. I had recently learned about approximate q learning, or feature-based q learning, in which you describe states by features to save space. I have tried to implement this in a simple grid game. Here, the agent is supposed to learn to not go into a firepit(signaled by an f) and to instead eat up as much dots as possible. Here is the grid used:
...A
.f.f
.f.f
...f
Here A signals the agent's starting location. Now, when implementing, I set up two features. One was 1/((distance to closest dot)^2), and the other was (distance to firepit) + 1. When the agent enters a firepit, the program returns with a reward of -100. If it goes to a non firepit position that was already visited(and thus there is no dot to be eaten), the reward is -50. If it goes to an unvisited dot, the reward is +500. In the above grid, no matter what the initial weights are, the program never learns the correct weight values. Specifically, in the output, the first training session gains a score(how many dots it ate) of 3, but for all other training sessions, the score is just 1 and the weights converge to an incorrect value of -125 for weight 1(distance to firepit) and 25 for weight 2(distance to unvisited dot). Is there something specifically wrong with my code or is my understanding of approximate q learning incorrect?
I have tried to play around with the rewards that the environment is giving and also with the initial weights. None of these have fixed the problem. Here is the link to the entire program: https://repl.it/repls/WrongCheeryInterface
Here is what is going on in the main loop:
...ANSWER
Answered 2019-Apr-06 at 10:18Probably not the anwser you want to hear, but:
Have you try to implement the simpler tabular Q-learning before approximate Q-learning? In your setting, with a few states and actions, it will work pefectly. If you are learning, I strongly recommend you to start with the simpler cases in order to get a better understanding/intuition about how Reinforcement Learning works.
Do you know the implications of using approximators instead of learning the exact Q function? In some cases, due to the complexity of the problem (e.g., when the state space is continuous) you should approximate the Q function (or the policy, depending on the algorithm), but this may introduce some convergence problems. Additionally, in you case, you are trying to hand-pick some features, which usually required a depth knowledge of the problem (i.e., environment) and the learning algorithm.
Do you understand the meaning of the hyperparameters alpha and gamma? You can not choose them randomly. Sometimes they are critical to obtain the expected results, not always, depending heavely on the problem and the learning algorithm. In your case, taking a look to the convergence curve of you weights, it's pretty clear that you are using a value of alpha too high. As you pointed out, after the first training session your weigths remain constant.
Therefore, practical recommendations:
Be sure to solve your grid game using a tabular Q-learning algorithm before trying more complex things.
Experiment with different values of alpha, gamma and rewards.
Read more in depth about approximated RL. A very good and accesible book (starting from zero knowledge) is the classical Sutton and Barto's book: Reinforcement Learning: An Introduction, which you can obtain for free and was updated in 2018.
QUESTION
Ok, so I almost have this script finished, but I'm having an issue where I am getting an Undefined Index error when I try to submit the page on the 'site' index, used in both the $_GET to get it from the URL, and the submit.
...ANSWER
Answered 2018-May-26 at 04:17What is $sitenumber = $_GET['site']; //Undefined index here supposed to be when it's not setup yet? What si the default value?
QUESTION
I'm pretty new to coding with php and SQL, so I'm probably going to have a lot of questions. But as the title states, I'm getting this error...
You have an error in your SQL syntax; check the manual that corresponds to your MySQL server version for the right syntax to use near '' at line 1
I'm not sure what this is referring to. I've gone over the code as much as I can, but I can't find a syntax error. Maybe it's something I just don't know yet.
...ANSWER
Answered 2018-May-26 at 02:46Correct this :
QUESTION
So the title might not be perfect, but it's essentially what I want to do.
My problemI'm creating an app using Unity 2017.3.0f3 and Google's ARCore where you can select a model to place in the world and change the texture on the material as desired. The problem I'm having is that I can place a model with 1 texture on it, but when I change the texture on the Ghost
model (in this case, the Ghost
model floats around in the world on the ARCore Plane
where a Raycast
from the center of the screen collides with the Plane
) it changes the texture on the already-placed model as well. See the screenshots below, taken seconds apart from screenshots on my phone:
- I have placed a model (left/back) with the 'Lit' firepit texture, and the
Ghost
model is still 'Lit' (right/front):
- I have clicked the 'Unlit' firepit texture in the list, and now both models have changed texture:
This is the code I wrote to change the Ghost
to the selected model (it works, I've tested it with multiple models, but the demo currently only has 1), which is called when clicking on the model thumbnail in the bottom pane:
ANSWER
Answered 2018-Jan-31 at 19:53when I Instantiate the Ghost onto the Plane, the materials seem to be maintaining reference to the Ghost materials.
There are three constructor overloads for the Material class:
QUESTION
ANSWER
Answered 2017-May-11 at 23:02I hope to have understood the problem. There is a margin applied to the footer tag that leaks out from div#Footer. It is because of the collapsing margins in CSS. If you give a 1px pixel padding or a transparent 1px border to the div, the footer tag margin will be contained.
If you don't need the margin you could simply remove it:
QUESTION
Recently, I have been working on a simple website for a small landscaping business as my first test starting as a web developer. Aware of my small amount of skills, the client does not care much for the site to be insanely detailed; he just wants his information to be accessible on the Internet since he isn't confident in his ability to manage social media himself.
I've run into a somewhat common problem from what I've seen, but every answer I try doesn't seem to work out. The problem is, while creating a sample/template with googled images and sample text to form a layout, my background image is covering the background color assigned to the footer, which I don't want. Can someone help me with this?
P.S. I'm aware there are a LOT of things that aren't finished in this code and I believe that I've seen most of them (ex. link targets and urls), but feel free to point them out so I can make note of all of them
...ANSWER
Answered 2017-May-11 at 19:16Try using the awesome power of flex-box!
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install firepit
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page