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A description of the status of the batch centroid. This is the date and time in which the batch centroid was updated with microsecond precision. A status code that reflects the status of the batch centroid.

None of the fields in the dataset Specifies the fields in the dataset to be excluded to create the batch anomaly score. Example: true importance optional Whether field importance scores are added as additional columns for each input field. Example: "my new anomaly score" newline optional The new line character that you want to get as line break in the generated csv file: "LF", "CRLF". Example: "Anomaly Score" separator optional The separator that you want to get between fields in the generated csv file.

This will be 201 upon successful creation of the batch anomaly score and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the batch anomaly score creation has been completed without errors. This is the date and time in which the batch anomaly score was created with microsecond precision.

True when the batch anomaly score has been created in the development mode. Whether field importance scores are added as additional columns for each input field or not. The list of input fields' ids used to create the batch anomaly score. The new line character used as line break in the file that contains the anomaly scores. In a future version, you might be able to share batch anomaly scores with other co-workers or, if desired, make them publicly available. A description of the status of the batch anomaly score.

This is the date and time in which the batch anomaly score was updated with microsecond precision. A status code that reflects the status of the batch anomaly score.

Example: true category optional The category that best describes the batch topic distribution. None of the fields in the dataset Specifies the fields in the dataset to be excluded to create the batch topic distribution.

Example: "my new batch topic distribution" newline optional The new line character that you want to get as line break in the generated csv file: "LF", "CRLF". This will be 201 upon successful creation of the batch topic distribution and 200 afterwards.

Make sure that you check the code that comes with the status attribute to make sure that the batch topic distribution creation has been completed without errors.

This is the date and time in which the batc topic distribution was created with microsecond precision. True when the batch topic distribution has been created in the development mode.

The list of fields's ids that were excluded to build the batch topic distribution. The list of input fields' ids used to create the batch topic distribution. The new line character used as line break in the file that contains the topic distributions. In a future version, you might be able to share batch topic distributions with other co-workers or, if desired, make them publicly available. A description of the status of the batch topic distribution. This is the date and time in which the batc topic distribution was updated with microsecond precision.

A status code that reflects the status of the batch topic distribution. Example: 1 combiner optional Specifies the method that should be used to combine predictions when a non-boosted ensemble is used to create the evaluation. None of the fields in the dataset Specifies the fields in the dataset to be excluded to create the evaluation. Example: "MySample" tags optional A list of strings that help classify and index your evaluation.

This will be 201 upon successful creation of the evaluation and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the evaluation creation has been completed without errors. This is the date and time in which the evaluation was created with microsecond precision. Specifies the type of strategy that a model will follow when a missing value needed to continue with inference in the model is found.

Either 0, 1, 2, or 3 to specify respectively whether the evaluation is from a single model, an ensemble, a logistic regression, or or a time series model.In case of forecasting, autoregressive moving average models and vector autoregression models can be utilized. These techniques rely on one-step-ahead predictors (which minimise the variance of the prediction error).

When the generating models are nonlinear then stepwise linearizations may be applied within Extended Kalman Filter and smoother recursions. However, in nonlinear cases, optimum minimum-variance performance guarantees no longer apply.

That is the estimation step. The scientific method is built on testing statements that are logical consequences of scientific theories. This is done through repeatable experiments or observational studies.

A scientific theory which is contradicted by observations and evidence will be rejected. New theories that generate many new predictions can more easily be supported or falsified (see predictive power).

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Notions that make no testable predictions are usually considered not to be part of science (protoscience or nescience) until testable predictions can be made. Mathematical equations and models, and computer models, are frequently used to describe the past and future behaviour of a process within the boundaries of that model.

In some cases the probability of an outcome, rather than a specific outcome, can be predicted, for example in much of quantum physics. In microprocessors, branch prediction permits avoidance of pipeline emptying at branch instructions. In engineering, possible failure modes are predicted and avoided by correcting the mechanism causing the failure. Accurate prediction and forecasting are very difficult in some areas, such as natural disasters, pandemics, demography, population dynamics and meteorology.

For example, it is possible to predict the occurrence of solar cycles, but their exact timing and magnitude is much more difficult (see picture to right). New theories make predictions which allow them to be disproved by reality. For example, predicting the structure of crystals at the atomic level is a current research challenge.

The existence of this absolute frame was deemed necessary for consistency with the established idea that the speed of light is constant. The famous Michelson-Morley experiment demonstrated that predictions deduced from this concept were not borne out in reality, thus disproving the theory of an absolute frame of reference. The special theory of relativity was proposed by Einstein as an explanation for the seeming inconsistency between the constancy of the speed of light and the non-existence of a special, preferred or absolute frame of reference.

Albert Einstein's theory of general relativity could not easily be tested as it did not produce any effects observable on a terrestrial scale. Mathematical models of stock market behaviour (and economic behaviour in general) are also unreliable in predicting future behaviour. Among other reasons, this is because economic events may span several years, and the world is changing over a similar time frame, thus invalidating the relevance of past observations to the present.

Thus there are an extremely small number (of the order of 1) of relevant past data points from which to project the future. In addition, it is generally believed that stock market prices already take into account all the information available to predict the future, and subsequent movements must therefore be the result of unforeseen events.

Consequently, it is extremely difficult for a stock investor to anticipate or predict a stock market boom, or a stock market crash.

In contrast to predicting the actual stock return, forecasting of broad economic trends tends to have better accuracy.

Some correlation has been seen between actual stock market movements and prediction data from large groups in surveys and prediction games. An actuary uses actuarial science to assess and predict future business risk, such that the risk(s) can be mitigated.

For example, in insurance an actuary would use a life table (which incorporates the historical experience of mortality rates and sometimes an estimate of future trends) to project life expectancy. Predicting the outcome of sporting events is a business which has grown in popularity in recent years.

Handicappers predict the outcome of games using a variety of mathematical formulas, simulation models or qualitative analysis. Early, well known sports bettors, such as Jimmy the Greek, were believed to have access to information that gave them an edge. Recent times have changed the way sports are predicted.Harry Redknapp at Birmingham will be hard to ignore and their odds are just 7-1.

If you are after an outsider, former Rangers boss Mark Warburton could surprise a few people at Nottingham Forest, who are finally free of the chaotic ownership of Fawaz al-Hasawi and available at 12-1. The Week incorporates The First Post. Blackburn Rovers relegated as Venky's nightmare continuesAdvertisementSign up for our daily newsletterNewsletter CloseRead more: FootballMiddlesbroughAdvertisementAdvertisement You are here:HomeChampionshipChampionship betting preview: Who will challenge Boro and Villa.

Messi: the rivalry, statistics, goals and awardsFootballWhat is the Rooney Rule and why have EFL clubs adopted it. Liverpool transfer newsPhilippe Coutinho unsure of Liverpool futurePremier LeagueMan Utd vs. BusinessCan you spot which item has been stolen.

Are you looking for the perfect venue to host your Christmas party. Blues Network Business Breakfast with HSBC, sponsored by A2B Radio Cars, is another triumph'Events' patrons added to the Blues Network Business ClubVisit us: Birmingham City Football Club plc, St. Helpful Information Online Ticket Store Ticketing Guide New to St. Stadium Plan Ground Regulations BLUESTV Latest Videos Match Highlights Important Information BluesTV - Sign up now.

BluesTV - Download the app here. Subscribe FAQ Contact BluesTV - Sign up now. Where to eat at St. Who can forget the incredible victory by Henrik Stenson in 2016 at Royal Troon where he dueled with Phil Mickelson and took home The Claret Jug. There is now a single player at the top of the Open Championship Leaderboard with Jordan Spieth three shots clear after another faultless round at The Open 2017.

My final tips of the week will be in the betting without Spieth market. The GM Tipster got ready for the Open Championship by picking the winner and three of the top 5 in the John Deere Classic last weekend.

To have a look at how he is doing so far this season check out our golf betting tips homepage. Has a low round in him and not going to get better odds on him now. Is one under par and very much in the hunt.

I am ecstatic that I can now get on him as I thought the opportunity had passed. He is level par, got a good chance to do well even if it is just at each way. Knows his way around a links course and will have incredible home support as he comes from Southport. He is 9th in the world won the BMW PGA Championship a month ago and has four top tens this year in total, we also know he can win on links.

The weather is set to be pretty mixed with showers and strong winds, the trickier the conditions the better his chances I feel.

He still very much has the game to compete and at this price he has a great each way chance. He is a player who really rises to the big occasion and had incredible form on links courses in 2016. Even with the recent bad form I still think he could contend this week. Expand Best Golf GPS Watches 2017 Best Golf GPS Watches 2017 Best Golf GPS Watches 2017 Improve Your Game Expand Best Electric Golf Trolleys 2017 Best Electric Golf Trolleys 2017 Here you can read our guide to the Expand Best Golf Shoes 2017 Best Golf Shoes 2017 Need to upgrade your footwear in 2017.

It is worth remembering that Oscar De La Hoya, Ricky Hatton, Shane Mosley and Manny Pacquiao have all tried and failed to beat the former pound-for-pound number one so it is impossible to see a fighter who has never fought professionally in a boxing ring before having any chance against one of the greats of all time.

If those odds are too short for you then you can turn to the method of victory market. It could simply be a matter of when, not if, Mayweather wins by knockout or technical knockout. It is worth looking out for a number of specials on the fight that the bookmakers will be publishing in the run-up to the bout, some of which are already available. We are still waiting on details of who will broadcast the fight in Ireland and the UK but it is sure to break box office records around the world as two sports collide in the clash of titans.

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Junior Sports Media Irish-Boxing.How many months does that go on. One day soon, sports wagering will be permitted from coast to coast. That will mean floods of new, inexperienced players, who know nothing of line moves or line shopping, let alone affiliate sheets or sportsbook referrals. Many will go looking for advice, and wherever they turn, they will find men like RJ Bell eager to help. Ryan Goldberg is an award-winning freelance journalist who lives in Brooklyn.

His work can be found at his website. Content GuideDeadspin StoreRedirecting to the Deadspin store in Disclaimer: You are leaving a Gizmodo Media Group, LLC website and going to a third party site, which is subject to its own privacy policy and terms of use. More from our networkKinja is in read-only mode. We are working to restore service. NO MATCH FREE FOR TODAY!!. CONDITION IS 450 FANS!!!. TEAM BETTING EXPERT IS COME BACK.

Please enable it in your browser's preferences. You can visit our support center if you're having problems. The social network for betting. Find experts you trust on the best you want to make, with complete historical statistics for their tips in all leagues and sports. Sorry, your browser isn't supported by audioBoom.

Please try one of our supported browsers. The incentive behind the prize money is to ensure that users of bettingexpert. As part of his prize for winning the competition, Nemanja was flown out to Denmark to meet the Better Collective team and be shown the bright lights of Copenhagen, where he was treated to a traditional Danish lunch and a canal trip to see the city.

Guillaume Mazella Head of Content Production at Better Collective told TotallyGaming. He was ranked Tipster of the Month twice in the same judging period within our English speaking community, and earned prizes for placing within the top three for Tipster of the month on 18 separate occasions across 2 different language communities.

If you are looking for some tipster advice, Ninca90 is definitely one to follow. Furthermore, the platform that is provided by Bettingexpert continues to give tipsters an unrivalled opportunity to prove their credentials as a top tipster.

ODDSbible promotes honest betting banter with the Senet Group Could the World Cup provide the perfect platform for mobile betting. DraftKings expands into the world of live streaming Simplicity and speed rules for mobile focused operatorsDegree 53 expands into Manchester City Centre LADbible is revolutionising the world of online sports betting adsInBet Games extends market reach through Altenar partnership SportPesa and Microgame combine for Italian expansion Gambling.

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Will he announce the existence of alien life. Whimsical as these situations might sound, there is a growing market for betting on an already unpredictable Trump presidency. Paddy Power, the Irish gambling website known for its over-the-top marketing stunts, says wagers associated with Mr.Input data passed directly as a JSON string. Input data passed indirectly as one or more URIs of files in Cloud Storage locations. Returns as soon as possible.

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Anyone with Viewer access to the project can request. Must be a project Editor to run. Runs on the runtime version and in the region selected when you deploy the model. Can run in any available region, using any available runtime version. Though you should run with the defaults for deployed model versions.

Runs models deployed to Cloud ML Engine. Runs models deployed to Cloud ML Engine or models stored in accessible Google Cloud Storage locations.

The needs of your application dictate the type of prediction you should use. Batch prediction latency If you use a simple model and a small set of input instances, you'll find that there is a considerable difference between how long it takes to finish identical prediction requests using online versus batch prediction. Understanding prediction nodes and resource allocation Cloud ML Engine measures the amount of processing you consume for prediction in node hours.

Node allocation for batch prediction The batch prediction service scales the number of nodes it uses to minimize the amount of elapsed time your job takes. To do that, the service: Allocates some nodes to handle your job when you start it.

Scales the number of nodes during the job in an attempt to optimize efficiency. Shuts down the nodes as soon as your job is done. Node allocation for online prediction The online prediction service scales the number of nodes it uses to maximize the number of requests it can handle without introducing too much latency. To do that, the service: Allocates some nodes the first time you request predictions after a long pause in requests.

Scales the number of nodes in response to request traffic, adding nodes when traffic increases, and removing them when there are fewer requests. Limitations of automatic scaling Cloud ML Engine automatic scaling for online prediction can help you serve varying rates of prediction requests while minimizing costs.

Using manual scaling You can affect the scaling of online prediction for a model version by specifying a number of nodes to keep running regardless of traffic. Prediction input data The data you use for getting predictions is new data that takes the same form as the data you used for training. These formats are summarized in the following table, and described in more detail in the sections below: Prediction type and interface Supported input format Batch with API call Text file with JSON instance strings or TFRecords file (may be compressed) Batch with gcloud tool Text file with JSON instance strings or TFRecords file (may be compressed) Online with API call JSON request message Online with gcloud tool Text file with JSON instance strings or CSV file Instances JSON strings The basic format for both online and batch prediction is a list of instance data tensors.

Individual values in an instance object can be strings, numbers, or lists. The following special formatting is required: Your encoded string must be formatted as a JSON object with a single key named b64. Online prediction input data You pass input instances for online prediction as the message body for the predict request. Batch prediction input data You provide input data for batch prediction in one or more text files containing rows of JSON instance data as described above.

Runtime versions As new versions of Cloud ML Engine are released, it is possible that models developed against older versions will become obsolete. Runtime versions and predictions You can specify a supported Cloud ML Engine runtime version when you create a model version.

Regions and predictions Google Cloud Platform uses zones and regions to define the geographic locations of physical computing resources. Prediction logging Batch prediction generates job logs that you can view on Stackdriver Logging. Getting predictions from undeployed models You can request batch prediction using a model that you haven't deployed to the Cloud ML Engine service. Model testing You can use the Cloud ML Engine prediction service to host your models that are in production, but you can also use it to test your models.

What's next Infer values from new data instances with online prediction. Home of the national championship game, finalists for some of the more prominent national honors were at the College Football Hall of Fame for the annual awards show. We took the opportunity to poll as many of these college stars about their picks for the playoff. Two abstained citing a lack of overall knowledge while 11 gave their view of this four-team field.

Alabama faces top-ranked Clemson in the Sugar Bowl after Georgia and Oklahoma meet in the Rose Bowl on New Year's Day.Example: false name optional The name you want to give to the new forecast. Example: "aicc" indices optional Select ETS models by directly indexing the ETS models list in the model resource.

Example: 10 names optional Select ETS models by name. This will be 201 upon successful creation of the forecast and 200 afterwards. Make sure that you check the code that comes with the status attribute to make sure that the forecast creation has been completed without errors.

This is the date and time in which the forecast was created with microsecond precision. The dictionary of input fields' ids or fields' names and values used as input for the forecast. Whether the lower and upper confidence bounds for the forecast are included in the calculation. In a future version, you will be able to share forecasts with other co-workers or, if desired, make them publicly available.

This is the date and time in which the forecast was updated with microsecond precision. The values of the time series predicted by running the ETS model forward in time without noise. A status code that reflects the status of the forecast creation. Example: true category optional The category that best describes the batch prediction.

Example: 1 combiner optional Specifies the method that should be used to combine predictions when a non-boosted ensemble is used to create the batch prediction. Example: 1 confidence optional Whether the confidence for each prediction for the model or non-boosted ensemble should be added to the each csv file.

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For logistic regressions, it is accepted but deprecated in favor of probability. Note that it will only have effect if header is true.

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If a negative class is not provided, then the minority class will be returned. None of the fields in the dataset Specifies the fields in the dataset to be excluded to create the batch prediction. Example: true importance optional Whether to include a column for each of the field importances for model and ensemble predictions.Note: If you make a purchase via any product links on this site, I may earn a small percentage to support my plastic-free mission.

And many brands of bottled water are simply filtered tap water. Get a reusable stainless steel bottle (Klean Kanteen has just come out with a completely plastic-free water bottle no plastic on the cap at all. Plastic may leach chemicals into the water and aluminum bottles are lined with an epoxy resin, some of which has also found to leach into water depending on the brand. Why take a chance. Read my posts about bottled water for more information. Some people like reusable canvas totes.

Others prefer to put their purchases into a backpack or messenger bag. Do you often forget your reusable bags. ChicoBags are a great emergency alternative. While they are made from synthetic materials, they compress into their own attached stuff sack, which makes them very convenient and likely to be used.

I carry several of them in my purse so I am never without a bag. If you have a car, keep your grocery bags in it and remember to bring them into the store with you. And one more thing: reusable bags are not just for groceries. Carry them for all your purchases, from electronics to clothing. Some examples of convenient containers are:Stainless containers from Life Without Plastic, Eco Lunchbox, LunchBots, and others.

This process helps me to remember my reusable mug next time. I could have just as easily used my own stainless steel utensils. A single use plastic device meant to save a single use cardboard box. What about all the marine animals that swallow that type of disposable plastic.

That keeps my ice cream consumption down, which is better for my health, and it also does away with the plastic-lined containers as well. Ice cream cones require zero container or utensil waste. If I do want to bring some home, I can have my ice cream handpacked in my own container. This eliminates the need for all disposable bottles glass as well as plastic. Especially in the summer. So I got a Soda Stream Penguin soda maker for those times I crave some fizz.

The soda maker itself is plastic, but the carafes are glass, and the soda maker replaces hundreds of disposable bottles. At the bakery down the street, I can have my bread placed in my own cloth bag and avoid all packaging.

Bread keeps fresh when stored in the cloth bag inside an airtight tin. I reuse a popcorn tin that was sent to me as a gift several years ago. Often, thrift stores have more of these tins than they know what to do with. And since I buy so few new things, I can afford to spend more for quality, plastic-free food. See my post Fresh Bread: Buy It, Store It, Keep It Fresh Without Plastic. Ask your local grocer to take them back. Or empty your berries into your own container before leaving the store and leave the plastic basket behind.


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