Glacial blade proc rate
This page pertains to weapons and augmentations with proc effects or effects triggered by successful combat swings.
Table of Jolt only Weapon procs! Table of Jolt inclusive Weapon procs! Table of DD Lifetap Weapon procs! Table of Mana Tap Weapon procs!
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You usually have good points as well, but I've gotta disagree with this one. You end the thread with "fletching is awful," "hate the bird pet," but complain at the first attempt at moving away from using arrows. Rangers have some of the best melee abilities in the game and never utilize them once.
A push towards giving rangers a melee option is an incredible idea, and while it probably should've been an addition to a bigger solution later on, it's still a push in the right direction. Do some more parsing with 2 lower delay weapons and you'll see a difference. It has x7 the proc rate of normal proc buffs, and hits fairly well and often when you swing fast. Glacial Strike's current use of being a "jump-in" nuke is a really really bad mechanic, although its range was increased to be castable at melee range now, still making it a "better" ranged jump-in nuke.Ccd wiring diagram
There's a lot of work that rangers can benefit from. Last edited: Jun 22, Masuriya Dalayan Elder. Maybe if your class had melee improvements it'd be better at actually meleeing and it'd be more useful? There's actually a respectable amount of proc weapons out there that would help your melee and make glacial strike work even better. There's also bosses later on that have Masuriya said:. Kedrin Dalayan Pious Diety. Gargate said:. I could use it range attacking run in nuke jump out.After some testing along with others, it appears as though certain weapons such as Nightfall are incapable of triggering during the global cooldown.
In this fight, I used Sense undead or seal of the crusader right before the end of each swing timer. Across hits I got 1 proc off of nightfall on that swing I was distracted and was late on putting on the GCD.
This bug may apply to other proc effects, as I assume that Nightfall is not the only weapon coded this way. I can confirm that after successful melee hits during the GCD activated using find beasts I did not get a single Nightfall proc. This explains why Nightfall has a lower proc rate in raids where we use abilities that activate the GCD compared to target dummy tests.
Here is a list of affected weapons gatherd on the fightclub discord by tilkku.
The total is now 0 procs out of 1, melee attacks across 6 weapons found in that list. Blizz, if this is accurate to the Reference Client, please let us know. Been following the research on Fight Club and this interaction between weapon procs that have a GCD list above in previous post and spamming abilities to maximize procs as players do with nightfall or frost proc weapons on Viscidus makes for some very unintuitive mechanics where attacking with a weapon more frequently results in fewer procs then if you just autoattack.
The data seems conclusive. Bump to confirm, did similar testing spamming Wing Clip with 2x Coldrage Dagger to the same effect. Iv noticed other weapons behaving like this as well where the procs just seem non existent except while auto attacking. This really needs to be addressed. Bump Bump.
Really good find. No wonder proc based weapons feel so bad in classic and I hope this does get addressed soon. The team took another comprehensive look at Nightfall and other similar proc-based weapon and item effects with this new information and we can confirm that certain effects cannot proc while under the effects of the Global Cooldown triggered by certain abilities.
However, after extensive testing in the reference client, we can also confirm that this is true and accurate to original World of Warcraft as well. We also discovered that there were specific provisions built into the original game to force this to be true. This means that most physical abilities or spells that incur the GCD will not block these procs from firing while the GCD is in effect.Kihyun photocard list
Either way, this is not something that we currently consider to be a bug. Thank you for the post about this, Smeet. Thank you as well to all of the other players who contributed to the super diligent research on this topic. We were glad to be able to revisit this and help clarify some of the inconsistencies players were experiencing around this and other proc-based items. Edit: For posterity, I wanted to update this post and include a link to another thread with additional information on this issue here.Wifi history viewer
Just because people did not have the same ability to catch bugs in vanilla does not mean they were not bugs. You may want to check this part on classic, as wingclip was certainly blocking the auto attack procs, and is a physical attack unless it is coded as magical for some reason.GitHub is home to over 50 million developers working together to host and review code, manage projects, and build software together. Have a question about this project?
Sign up for a free GitHub account to open an issue and contact its maintainers and the community. Already on GitHub? Sign in to your account. The proc on it is awsome, and according to my proc watch procs once every 8. Great weapon for PvP Paladins. Took 3 months for the thing to drop though. When it doesIt's like releasing the Krakken! Once every 8. That equals 0. Seems quite clear it should be 2 PPM.
The "proc once out of swings" also seems to support this, even if its anecdotal evidence. The average of that would be 8. We use optional third-party analytics cookies to understand how you use GitHub. Learn more. You can always update your selection by clicking Cookie Preferences at the bottom of the page. For more information, see our Privacy Statement. We use essential cookies to perform essential website functions, e.
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The Untamed Blade
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Jump to bottom. Copy link Quote reply. Issue The Untamed Blade proc chance is too low. It is currently 1 PPM.Mpp solar pip 5048 gk
How it should be The proc chance should be 2 PPM. This commit was created on GitHub. Changes PPM from 1 to 2. This was referenced Jul 9, Sign up for free to join this conversation on GitHub.
Already have an account? Sign in to comment. Linked pull requests. You signed in with another tab or window. Reload to refresh your session. You signed out in another tab or window.Generate: 6 Fury per attack. Generate: 4 Fury per attack. This effect stacks up to 5 times. Generate: 15 Fury Cooldown: 12 seconds. Smash the ground, stunning all enemies within 14 yards for 4 seconds. Generate: 15 Fury Cooldown: 10 seconds. Critical Hits have a chance to reduce the cooldown of Overpower by 1 second.
Maximum 2 charges. Cost: 1 Charge Generate: 15 Fury. You gain a charge every 10 seconds and can have up to 1 charge stored at a time. Cooldown is reduced by 1 second for every 25 Fury you spend.
Lasts seconds. Generate: 20 Fury Cooldown: 20 seconds. Cost: 25 Fury Cooldown: 60 seconds. Summon the ancient Barbarians Talic, Korlic, and Madawc to fight alongside you for 20 seconds.
Talic wields a sword and shield and uses Whirlwind and Leap Attack. Korlic wields a massive polearm and uses Cleave and Furious Charge.
Madawc dual-wields axes and uses Weapon Throw and Seismic Slam.
Weapon proc rates
Enter a berserker rage which raises several attributes for 20 seconds. No Rune: If you try to delete an ensemble a second time, or an ensemble that does not exist, you will receive a "404 not found" response.
However, if you try to delete an ensemble that is being used at the moment, then BigML. To list all the ensembles, you can use the ensemble base URL. By default, only the 20 most recent ensembles will be returned. You can get your list of ensembles directly in your browser using your own username and API key with the following links.
You can also paginate, filter, and order your ensembles. Logistic Regressions Last Updated: Monday, 2017-10-30 10:31 A logistic regression is a supervised machine learning method for solving classification problems. You can create a logistic regression selecting which fields from your dataset you want to use as input fields (or predictors) and which categorical field you want to predict, the objective field.
Logistic regression seeks to learn the coefficient values b0, b1, b2. Xk must be numeric values. To adapt this model to all the datatypes that BigML supports, we apply the following transformations to the inputs:BigML. You can also list all of your logistic regressions. Value is a map between field identifiers and a coding scheme for that field. See the Coding Categorical Fields for more details. If not specified, one numeric variable is created per categorical value, plus one for missing values.
This can be used to change the names of the fields in the logistic regression with respect to the original names in the dataset or to tell BigML that certain fields should be preferred. All the fields in the dataset Specifies the fields to be included as predictors in the logistic regression.
If false, these predictors are not created, and rows containing missing numeric values are dropped. Example: false name optional String,default is dataset's name The name you want to give to the new logistic regression.
Example: "my new logistic regression" normalize optional Boolean,default is false Whether to normalize feature vectors in training and predicting. The type of the field must be categorical. The type of the fields must be categorical. The range of successive instances to build the logistic regression. Regularizing with respect to the l1 norm causes more coefficients to be zero, using the l2 norm forces the magnitudes of all coefficients towards zero. Example: "l1" replacement optional Boolean,default is false Whether sampling should be performed with or without replacement.
The minimum between that number and the total number of input rows will be used. Example: 1000 tags optional Array of Strings A list of strings that help classify and index your logistic regression. By default, they are "one-hot" coded. That is, one numeric variable is created per categorical value, plus one for missing values. For a given instance, the variable corresponding to the instance's categorical value has its value set to 1, while the other variables are set to 0.
Using the iris dataset as an example, we can express this coding scheme as the following table:The parameter value is an array where each element is a map describing the coding scheme to apply to a particular field, and containing the following keys:The value for coding determines which of the following methods is used to code the field: If multiple coding schemes are listed for a single field, then the coding closest to the end of the list is used.
Codings given for non-categorical variables are ignored. The dummy class will be the first by alphabetical order. This is because the default one-hot encoding produces collinearity effects which result in an ill-formed covariance matrix. You can also use curl to customize a new logistic regression. Once a logistic regression has been successfully created it will have the following properties.
The coefficients output field is an array of pairs, one pair per class. The first element in the pair is a class value, and the second element is a nested array of coefficients for the logistic model that gives the probability of that class. Each inner array within the nested array contains the group of coefficients that pertain to a single input field.
The class-coefficient pairs are listed in the same order as the class values in the objective field summary.Example: 1 complement optional If complement is true, complementary items are also taken into account.
Example: "This is a description of my new association" Global numeric field transformation parameters. Specifies the fields that won't be included in the association. Example: true name optional The name you want to give to the new association. Example: "lift" seed optional A string to be hashed to generate deterministic samples.
Example: "width" All the information that you need to recreate the association. It includes the field's dictionary describing the fields, and the associations' items and rules. See the Associations Object definition below. This will be 201 upon successful creation of the association and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the association creation has been completed without errors.
This is the date and time in which the association was created with microsecond precision. The list of fields's ids that were excluded to build the association. In a future version, you will be able to share association with other co-workers or, if desired, make them publicly available. This is the date and time in which the association was updated with microsecond precision.
See the discretization table.Mass of caco3 in grams
An array of unique items detected in the datasest. See Item Object below. A real number between -1 and 1 specifying the minimum leverage for the rules discovered. An array of association rules discovered in the dataset. The total number of rules is less than or equal to k.
See Rule Object below. Summary statistics about the discovered rules. These fields are documented in Numeric Field Summary.
Change to glacial strike
As in the numeric field summary, the presence of counts or bins depends on the number of distinct values. For items derived from numeric fields represent number ranges, this is the numerical value where the bin ends for a particular item. It may be null when the range is open ended.
Note that the bin is inclusive for regular items but exclusive for complementary items. For items derived from numeric fields represent number ranges, this is the numerical value where the bin starts for a particular item. The zero-based item index in the list if the item has a complementary item associated. An array of zero-based item ids for the LHS of the rule. These ids represent the index of the item in the items list. A pair with coverage for the items in the LHS of the rule expressed as a proportion of total instances, and absolute number of counts.
A real number between 0 and 1 representing the p-value for the rule.
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