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Claudio Fénix feat. Cef - Quero Te Fazer Feliz  [DOWNLOAD].MP3
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There is the potential to win twice if you have both teams correct. Every owner of the battle pass has the possibility to bet on their own matches. This happens in the preparing-phase before the match starts. Every week one can bet up to 1000 weekly received tokens. If your bet is correct and you win the game, you receive double the amount of bet tokens in battle points, allowing you to receive an additional maximum of 2000 battle points a week. Per 1000 battle points the battle pass gains a level, which in itself unlocks new cosmetic items as rewards.
And the alarm bells were ringing for punters again on Wednesday when his odds suddenly started to drift dramatically. A close second in the Betway Queen Mother Champion Chase was followed by big wins at Aintree and Punchestown. He looked as good as ever in November's Shloer Chase and should have too much for his six rivals on Saturday. Tizzard was toying with the idea of stepping him up in trip, but he will be pleased he decided this route with Altior on the sidelines and Douvan yet to reappear.
Paul Nicholls has always loved this grey son of Poliglote and he was desperately unlucky not to win the Grade One novice chase at Aintree in April. His jumping is normally very good and he has the potential to be a real star of the future, although Fox Norton has been there and done it at the highest level. However, he was pulled up on his reappearance behind Politologue and it takes a big leap of faith to think he could see off the favourite on just his second start in a year.
The five-year-old ran respectably in a big field handicap at the Punchestown Festival in April before finishing an excellent third at Down Royal on his seasonal reappearance. The winner of that race followed up at Punchestown, so the form is strong, and Barry Geraghty was jocked up to ride on Thursday. My final selection at Sandown is BRAIN POWER in the Henry VIII Novices' Chase (1. All the races and commentary at Aintree will be showed at Sandown and vice versa, while all 14 races will appear in the racecard at both courses.
These views are not necessarily shared by City A. He was about to collect that day before stumbling badly at the last and coming down. He enjoys attacking his fences and if the others leave him to it, he could just slip the field. Enough said, he should go close.
Plenty of action to get stuck into. POINTERS - SATURDAY Brain Power 1. Holders Germany should go far in the tournament after a flawless qualifying campaign as they seek to retain their title and have been drawn in Group F alongside Sweden, Mexico and Korea Republic.
Joachim Low's side won all 10 games in qualifying, scoring 43 goals along the way, and will be aiming for another successful summer, having lifted the FIFA 2017 Confederations Cup in July. Brazil were also impressive in qualifying, comfortably topping the CONMEBOL standings, and will be favourites to progress in Group E alongside Switzerland, Costa Rica and Serbia.
Neymar will be the star of the show for the Selecao, but Tite's side possess plenty of other attacking options such as Gabriel Jesus, Willian, Roberto Firmino and Philippe Coutinho. France also have plenty of strength in depth and should go far. Les Bleus won the trophy in 1998 and were runners-up in 2006. They will face Peru, Denmark and Australia in Group C in Russia. There is no obvious "Group of Death," although Portugal and Spain have again been drawn together in Group B along with Iran and Morocco.
Spain will be out to regain the title they won in 2010 and have a strong squad with a nice mix of youth and experience from David De Gea in goal, through to Andres Iniesta in midfield and Alvaro Morata up front. Julen Lopetegui's side are priced at 15-2, and Cristiano Ronaldo's European champions Portugal are 20-1. Argentina made hard work of qualifying, but with Lionel Messi in the ranks, anything is possible. They are available at 8-1 and will face Iceland, Croatia and Nigeria in Group D.This market is based on a century (as opposed to 100 runs) being scored.
Declarations will be considered the end of an innings for settlement purposes. A minimum of 50 overs must be bowled unless All Out or team declares.
Otherwise bets void, unless settlement of bets is already determined. Both teams must complete their first innings for bets to stand (including declarations). Bets void if the designated number of matches are not completed.
Claudio Fênix – Melancolia (feat. Anna Joyce) (2020) DOWNLOAD MP3
For series batsman total runs and player matches runs scored in both innings of all the matches in the series will count. For player performance the runs scored, wickets, catches and stumpings taken in both innings of all matches in the series will count. The over must be completed for bets to stand unless result already determined.
For Test matches totals are settled on the1st Innings only. Bets stand once 1 ball has been bowled in each team's 1st innings. Bets are void if the innings is forfeited. The whole match counts. Bets will stand after batsman has faced one ball or is given out before first ball is faced. Score counts if batsman is Not-Out including if innings is declared. All bets stand irrespective of delays caused by rain or for any other reason.
Unless a price is quoted for a draw, in the event of a drawn match, bets will be void. If a match is abandoned due to outside interference then bets will be made void. In the event of a tie Dead-Heat rules will apply. For any game which is abandoned or reduced via Duckworth Lewis, only the total number of runs and wickets actually registered count.
For settlement purposes the official total will stand regardless of any matches being abandoned or reduced in overs. For the Player market specifically, batsmen must face at least one delivery, otherwise bets are void. Should two players score a century in the same game, for settlement purposes the winner shall be deemed the one who has reached their century first in terms of time. If no player scores a century then bets will be void. Stakes will be returned on any player who does not participate in the tournament.
Should two players take five wickets in the same game, for settlement purposes the winner shall be deemed the one who has taken their fifth wicket first in terms of time. If no player takes five wickets then bets will be void. Otherwise bets will be void and stakes returned. All bets are settled on the official classification(s) listings, published by the respective race governing bodies, at the time of the podium presentation.
For Team Classification markets, settlement is based on final standings in time based classifications (should there be more than one Team Competition in a specified event). In the event of one or both cyclists not passing the starting line then bets will be deemed void.
All-in compete or not. The specified event must be completed in full (statutory number of stages), otherwise bets will be void unless the result is already determined. In the event of a match starting but not being completed, the player progressing to the next round or being awarded the victory will be deemed the winner for settlement purposes.
For Premier League darts events, match betting may be offered in the form of 3-Way, and 2-Way markets. For settlement purposes the 3-Way market includes the Tie option. Bets will be void in the 2-Way market if the match result is a tie. For example, Total Legs quote has been exceeded at the time of abandonment. All bets will be void if match is not completed.
All bets void if the match is not completed.To list all the statistical tests, you can use the statisticaltest base URL. By default, only the 20 most recent statistical tests will be returned. You can get your list of statistical tests directly in your browser using your own username and API key with the following links.
You can also paginate, filter, and order your statistical tests. Models Last Updated: Monday, 2017-10-30 10:31 A model is a tree-like representation of your dataset with predictive power. You can create a model selecting which fields from your dataset you want to use as input fields (or predictors) and which field you want to predict, the objective field.
Each node in the model corresponds to one of the input fields. Each node has an incoming branch except the top node also known as root that has none.
Each node has a number of outgoing branches except those at the bottom (the "leaves") that have none. Each branch represents a possible value for the input field where it originates. A leaf represents the value of the objective field given all the values for each input field in the chain of branches that goes from the root to that leaf.
When you create a new model, BigML. You can also list all of your models. This can be used to change the names of the fields in the model 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 model. The presence of an asterisk means "or missing". This means "x is missing" and "x is not missing" respectively. Example: true name optional String,default is dataset's name The name you want to give to the new model.
Even if this an array BigML. Specifies the type of ordering followed to build the model. There are three different types that you can specify: 0 Deterministic 1 Linear 2 Random For more information, see the Section on Shuffling your dataset below. To get the final number of candidate fields we round down to the nearest integer, but if the result is 0 we'll use 1 instead.
Sets the number of random fields considered when randomize is true. Example: 10 randomize optional Boolean,default is false Setting this parameter to true will consider only a subset of the possible fields when choosing a split.
See the Section on Random Decision Forests below. The range of successive instances to build the model. See the Section on Sampling below. So, if it is 3, then a both children of a new split must have 3 instances supporting them. Since instances may have non-integer weights, non-integer values are valid. Example: 16 tags optional Array of Strings A list of strings that help classify and index your model.By default it is based on the name of model, ensemble, logistic regression, or time series and the dataset used.
NEW ordering filterable, sortable The order used to chose instances from the dataset to evaluate the model. In a future version, you will be able to share evaluations with other co-workers or, if desired, make them publicly available. The result of the evaluation.
Depending on the type of task performed by the model (i. Regression results are similarly formatted, but there is a mean predictor instead of a mode. See tables below for the result formats of each model type. A description of the status of the evaluation. This is the date and time in which the evaluation was updated with microsecond precision. A detailed result object with an entry per performance measure computed, a confusion matrix, and a break down of the performance measures per class.
Measures the performance of the classifier that predicts the mode class for all the instances in the dataset. Measures the performance of the classifier that predicts a random class for all the instances in the dataset. Measures the performance of the model that predicts the mean for all the instances in the dataset.
A detailed result object with an entry per performance measure computed. Measures the performance of the model that predicts a random class for all the instances in the dataset.
See Coefficient of Determination. The name of this field will be the same as the corresponding objective field in the model. For each of the ets models in the time series for this objective field: A same name as the submodel, with the submodel's forecast.
A column, with name that of the submodel plus the suffix " - lower bound", with the lower bound of the error for the prediction. A similar column for the upper bound of the error. And, finally, a timestamp column, as an unix epoch in milliseconds. When comparing forecasting methods, the method with the lowest value is the preferred method. See Mean Absolute Scaled Error. See Symmetric Mean Absolute Percentage Error. A status code that reflects the status of the evaluation creation. See the WhizzML category codes for the complete list of categories.
Example: 1 description optional A description of the library up to 8192 characters long. Example: "This is a description of my new library" imports optional A list of valid library identifiers. Example: "my new library" Code for the WhizzML library. A user can change its value to 1 to request the approval or 0 to withdraw the previous request.
The script can be accepted (5) or rejected (-1) by the administrators. Once the script is accepted, it will be publicly available and no further changes to the script are allowed while the script is publicly shared. This will be 201 upon successful creation of the library and 200 afterwards.
Make sure that you check the code that comes with the status attribute to make sure that the library creation has been completed without errors.